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Skills:

Product Development, Tableau, SQL

Job type:

Full-time

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Experience using business intelligence tools (e.g. Tableau).
• Knowledge of SQL and Python.
• Understanding of machine-learning and operations research.
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics).
• Problem-solving aptitude.
• Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN: (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย: (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Skills:

SQL

Job type:

Full-time

• Understand RDT (Regulatory Data Transformation) requirement from BOT (Bank of Thailand).
• Provide data availability analysis, data source, data extraction criteria and confirm with related Domain expert, Data owner and support functions.
• Provide data validation rules.
• Confirm final data extraction logic with IT-RDT team.
• Support for any DQ issue and solution.
• Maintain RDT Center parameters.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
• Experience in regulatory data management, its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills.
• Well-versed RDT Regulation Literacy.
• Data profiling with variety data sources.
• Interpersonal skill with IT/Domain Expert/Data Owner, able to communicate well.
• Advance SQL skill is a must for this role.
• Banking background will be advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

Experience:

2 years required

Skills:

Contracts, Quality Assurance, Assurance, English

Job type:

Full-time

• Tier 0: UNDP/UNCDF/UNV IP staff holding permanent (PA) and fixed-term (FTA) appointments, whose posts will be abolished, or contracts will be terminated or not renewed during 2026.
• Tier 1: Other UNDP/UNCDF/UNV staff holding permanent (PA) and fixed-term (FTA) appointments.
• Tier 2: UNDP/UNCDF/UNV staff holding temporary appointments (TA), personnel on regular PSA contracts, and Expert and Specialist UN Volunteers.
• Tier 3 or no tier indicated: All other contract types from UNDP/UNCDF/UNV and other agencies, and other external candidates.
• Please make note of the Tier(s) indicated in the vacancy title, if any, and ensure that you satisfy the eligibility to apply.
• Background.
• Governments across the Asia-Pacific region are actively leveraging digital and artificial intelligence (AI) to improve public service delivery, decision-making, accountability, and inclusive, sustainable development pathways, especially as cities expand and climate pressures intensify. Yet translating ambitions into responsible and scalable implementation remains difficult due to capacity gaps, fragmented data ecosystems, uneven digital infrastructure, evolving governance needs, and uncertainty on how to safely test and operationalize emerging technologies.
• UNDP Bangkok Regional Hub (BRH), through its Regional Innovation and Digital Team, supports government partners and UNDP Country Offices across Asia-Pacific to address these gaps. The team is building a growing portfolio that connects institutional design, AI and data governance, digital public infrastructure (DPI), experimentation and system approaches for urban and green transformation. It provides capability diagnostics, responsible use-case identification, co-design approaches, and implementation guidance tailored to government's needs, alongside hands-on support to operationalize AI for people-centred, climate resilient development. In parallel, the digital stewardship and experimentation will further strengthen institutional capacity, foster peer learning and enable urban and rural focused data and AI-enabled innovation.
• The Urban Data and AI Specialist (Green Transition) will support the green digital city initiatives, building on country experiences with urban data platforms, AI-enabled planning and policy systems. The role will demonstrate how data and AI accelerate system-based urban transitions and improve cross-sector policy coherence.
• The Urban Data and AI Specialist (Green Transition) will report to the Team Lead- Regional Innovation and Digital Team, and work closely with the Strategic Innovation Designer, and colleagues across teams relevant.
• Provide specialized advisory and co-design support for green digital transition initiatives.
• Provide advisory support to UNDP Country Offices and government counterparts to define priority use-cases where data/AI can support green transition outcomes (urban and rural contexts).
• Co-design intervention concepts and technical approaches that combine systems sensing/learning with practical data/AI applications (e.g., urban data platforms, AI/ML, earth observation), ensuring feasibility and responsible use.
• Produce clear design notes (problem statement, proposed solution, roles, dependencies, risks) that support decision-making and next steps.
• Ensure design quality by defining minimum technical standards (data readiness, interoperability, privacy/safeguards, inclusion) and producing actionable technical notes and design briefs.
• Implementation readiness and quality assurance for pilots/experiments.
• Guide teams to translate concepts into implementable plans (minimum data requirements, governance needs, delivery steps, and partner roles).
• Provide technical review and quality assurance for pilot/experiment designs to ensure readiness for implementation and potential scale-up.
• Advise on practical safeguards and responsible data/AI considerations relevant to the use-case (e.g., privacy, security, bias, accountability) in public sector contexts.
• Data-driven sensemaking and development intelligence to inform decisions.
• Guide the use of practical data tools and approaches to generate development intelligence and identify system-change signals relevant but not limited to green urban and rural transition and resilience.
• Package insights into decision-ready outputs that can inform policy and investment planning, including portfolio decisions to adapt, scale and stop where relevant.
• Provide guidance on participatory sensemaking approaches that help partners interpret evidence and align across sectors.
• Capability strengthening and peer learning.
• Support design and deliver targeted clinics or peer-learning sessions to strengthen institutional capabilities and a community of practice across Asia-Pacific.
• Provide coaching and practical guidance to UNDP teams and partners on applying data/ AI approaches in green urban and rural transition programming.
• Knowledge capture, codification, and partnerships/resource mobilization support.
• Capture and codify learning from pilots and experimentation into concise products, integrating responsible AI, gender equality, and climate/green finance linkages where relevant.
• Maintain a curated repository of reusable materials and feed lessons into evolving service offers.
• Contribute technical inputs to partnerships and resource mobilization efforts, including proposal support and data-informed pipeline development.
• The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organisation.
• Competencies.
• Core Competencies.
• Achieve Results: LEVEL 3: Set and align challenging, achievable objectives for multiple projects, have lasting impact.
• Think Innovatively: LEVEL 3: Proactively mitigate potential risks, develop new ideas to solve complex problems.
• Learn Continuously: LEVEL 3: Create and act on opportunities to expand horizons, diversify experiences.
• Adapt with Agility: LEVEL 3: Proactively initiate and champion change, manage multiple competing demands.
• Act with Determination: LEVEL 3: Think beyond immediate task/barriers and take action to achieve greater results.
• Engage and Partner: LEVEL 3: Political savvy, navigate complex landscape, champion inter-agency collaboration.
• Enable Diversity and Inclusion: LEVEL 3: Appreciate benefits of diverse workforce and champion inclusivity.
• Business Direction and Strategy.
• System Thinking: Ability to use objective problem analysis and judgement to understand how interrelated elements coexist within an overall process or system, and to consider how altering one element can impact on other parts of the system.
• Business Development.
• Knowledge Generation: Ability to research information and to turn it into useful knowledge, relevant for context, or responsive to a stated need. Ability to apply existing concepts to new situations, and to develop new concepts to generate workable solutions and new approaches. Knowledge of relevant concepts, conceptual models, and theories that can be useful in addressing new situations.
• Human-Centered Design: Ability to develop solutions to problems by involving the human perspective in all steps of the problem-solving process. Knowledge and understanding of human- centered design principles and practices.
• Business Management.
• Partnership Management: Build and maintain partnerships with wide networks of stakeholders, Governments, civil society and private sector partners, experts and others in line with UNDP strategy and policies.
• Digital.
• Digital Transformation Design: Practical and strategic skills in digital transformation for governments and organizations.
• Artificial Intelligence Thought Leadership: Deep understanding of current and emerging trends in digital and AI, along with their social, ethical, and economic implications, including data privacy and human rights. Ability to engage with industry experts, government representatives, and academics to stay updated on latest trends and to form partnerships. Understanding global trends and cultural nuances, as they relate to the field of AI. Familiarity with international and regional standards regarding technology, particularly in a multistakeholder environment like the UN.
• Innovation Management: Being able to create strategies, conditions, structures, and systems to enable innovation at an organizational level. Ability to shape demand for innovation services, navigate political constraints and make the case for allocation of resources to innovation, connect the appropriate innovation approaches based on business needs and make the case for innovation to be integrated at the planning level within their context. Having in-depth theoretical and experiential knowledge of innovation processes, methods, and capabilities.
• Required Skills and Experience.
• Advanced university degree (Master s degree or equivalent) in Computer Science, Data Science/Analytics, Information Systems, Engineering, Public Policy/Administration, Urban Systems, or a closely related field.
• A first-level university degree (Bachelor s degree) in the areas mentioned above, in combination with an additional two years of qualifying experience will be given due consideration in lieu of the advanced university degree.
• Minimum five (5) years (with Master s) or seven (7) years (with Bachelor s) of progressively responsible experience in AI and digital transformation for public service delivery in Asia Pacific context.
• Experience working with government institutions and other public sector organizations for digital transformation and/or AI initiatives in Asia Pacific context, both at national and subnational level.
• Experience in design and deliver practical digital/AI solutions for public services in Asia Pacific context.
• Experience with responsible data and AI governance (privacy, security, fairness/bias, accountability) in public sector contexts.
• Experience coordinating projects/ programmes and engaging multiple stakeholders.
• Experience in development project in the UN System or International Organization.
• Experience with Digital Public Infrastructure (DPI) and/or GovTech unit set up/operations.
• Experience building partnerships and supporting resource mobilization with government, academia, private tech, donors and civil society.
• Experience in urban and limited connectivity contexts.
• Fluency in English is required.
• Working knowledge of another language from Asia Pacific countries is an asset.
• Equal opportunity.
• As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination.
• UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.
• Sexual harassment, exploitation, and abuse of authority.
• UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.
• Right to select multiple candidates.
• UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.
• Scam alert.
• UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert.

Experience:

3 years required

Skills:

ETL, TensorFlow, Statistics

Job type:

Full-time

• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend, Pentaho PDI or AWS Glue.
• Applying analytical models to predict business outcomes with tools such as Dataiku, DataRobot or TensorFlow, Keras or pyTorch.
• Good understanding of AI/ML processes and algorithms like k-means clustering, propensity models, text analytics, predictive models.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultant across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• Requirements:A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Machine learning and big data activities and demonstrate value through use cases. Applied experience in 2 or more types of machine learning problem classes- forecasting, prediction, segmentation, optimization and cognitive use cases.
• Proficient at data quality assessment, data exploration, profiling, design and development of analytic data sets, statistical analysis and machine learning modelling, application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization.
• Work on development of new data science solutions iteratively by building quick POCs and converting ideas into real products.
• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Have a passion for delivering quality code and ensuring the team's deliverables meet or exceed client expectations.
• Good foundation in data science, with competencies in data structures, algorithms and coding.
• 3-5 years of experience in data science building supervised, unsupervised and/or optimization models leading to business impact. Comfortable working cloud environments and big data / scalable computing.
• Experience with AWS or GCP machine learning platform or python or R.
• Experience with tools such as Dataiku, DataRobot.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 114154In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Experience:

1 year required

Skills:

Assurance, English

Job type:

Full-time

• Develop, refine, and maintain Operational Guidelines for assigned policy areas, translating policy intent into clear, actionable instructions and ensuring alignment with policy changes, platform updates, and operational best practices.
• Produce, validate, and maintain high-quality Testing Sets for calibration, QA evaluation, arbitration, and operational assessments, ensuring balanced coverage of scenarios, content types, and edge cases.
• Analyze complex, ambiguous, and high-risk cases to provide structured clarifications ...
• Support arbitration, QA, training, and calibration workflows by identifying misapplication patterns and operational gaps, driving measurable improvements in reviewer accuracy and consistency.
• Collaborate cross-functionally with Policy, Governance, Product, Engineering, Algo, and Training teams to ensure OGs and Testing Sets are scalable, actionable, and effectively translated into SOPs and training materials.
• Track quality and operational metrics to identify improvement opportunities and drive continuous enhancements in enforcement accuracy, workflow efficiency, and cross-team effectiveness.
• Contribute to ad-hoc quality and governance initiatives that enhance enforcement quality, operational effectiveness, and team performance.
• Minimum QualificationsCompletion of Bachelor's degree.
• Relevant internship experience in Policy, Trust & Safety, or Quality Management, or candidates with 1+ years of working experience in Quality Assurance, Training, or Editorial Review.
• Strong command of English with exceptional attention to detail, clarity, and linguistic consistency.
• Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.
• Analytical thinker with experience evaluating qualitative content and using data to inform process improvements.
• Ability to design and deliver interactive, engaging training materials and sessions.
• High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.
• Preferred QualificationsPrior experience in Content Moderation, AI operations, or Technical Writing is a significant plus.
• Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
• Expertise in content moderation policy, operational guideline development, and enforcement workflows.
• Experience collaborating with Policy, Product, Governance, Engineering, or Training teams.
• Knowledge of scenario coverage, positive/negative balance, and dataset validation.
• Job Information
• About TikTok
• TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
• Why Join Us
• Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
• We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
• Diversity & Inclusion
• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Experience:

5 years required

Skills:

Compliance, Mechanical Engineering, AutoCAD, English

Job type:

Full-time

• Preparing, scheduling, coordinating and monitoring the assigned engineering projects.
• Monitoring compliance to applicable codes, practices, QA/QC policies, performance standards and specifications.
• Interacting daily with the clients to interpret their needs and requirements and representing them in the field.
• Ensures policies, practices and procedures are understood and followed by direct reports, customers and stakeholders.
• Bachelor s Degree in Electrical or Mechanical Engineering.
• Engineering license is a must.
• Minimum 5 years work experience in Project Planning electrical system or fuel system experience in building,data center or oil and gas project.
• Excellent computer literacy and knowledge of design and visualization software.
• With strong interpersonal skills in maintaining client relationship.
• Good command of English communication.
• Must be a good team player and possess self-motivated driven working style.
• Excellent knowledge of design and visualisations software such as AutoCAD.
• Requisition Number: 217161 Job Function: Engineering

Experience:

5 years required

Skills:

Project Management, Research

Job type:

Full-time

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program or project management.
• Experience working with local municipalities, associations, key opinion formers, non-profit decision makers, education institutions, and community members.
• Experience building place-based development strategies and executing against those plans with measurable local impacts and business outcomes.
• Experience synthesizing data and research findings into recommendations.
• Master s degree or equivalent practical experience.
• Experience developing and launching local, state, national or global public-private partnerships.
• Experience using analytics to make decisions.
• Experience in one or more of the following: data centers, utilities, government, advanced manufacturing.
• Ability to grow in a fluid multinational environment working across multiple lines of business.
• Ability to travel 25% of the time as needed across a multi-market data center portfolio.
• A problem isn t truly solved until it s solved for all. That s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you ll lead complex, multi-disciplinary projects from start to finish working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
• Google's infrastructure needs go far beyond server computers. As products and services scale globally, we work behind the scenes to secure infrastructure to secure Google's future.
• In this role, you will be responsible for analyzing and mitigating economic, community, and labor risks to deliver an optimized inventory of assets meeting the operating needs of the business, and to ensure and maintain the license to operate in the markets. You will provide the strategy, programs, structure, and toolsets for economic, community, and workforce development issues to allow the regional site selection, negotiation, construction, operations, and execution teams to consistently make high-quality decisions at scale, faster, and with less risk, to meet the needs of Google s business while protecting the license to operate and effectively engaging in the data center markets.
• Lead global data center community development strategies, investments, and impacts for Thailand.
• Engage with key opinion formers and community groups such as municipal leaders, industry partners, economic development organizations, schools, education institutions, and non-profits to ensure initiatives are centered around community needs and accelerate business objectives.
• Collaborate with team leaders and peers to develop strategies that scale sub-regional community affairs coverage and focus on place-based frameworks and partnerships to produce location-specific development plans based on research data turned into actionable insights.
• Develop tools and processes to educate local communities about the role and impact of the data centers and create investment plans that are self-sustaining.
• Build and maintain key internal relationships including acquisitions and development, energy, government affairs and public policy, cloud supply chain and operations, marketing, Google organization, and local Google data center teams.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Experience:

8 years required

Skills:

Linux, UNIX, System Administration

Job type:

Full-time

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of experience in computing infrastructure, networking, operating systems, or hardware.
• 5 years of experience managing technical, vendor, agreement management, or delivery teams.
• Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
• Experience working in data center environments, including building and operating large-scale infrastructure, and network and compute architecture and life-cycle, and Linux/Unix system administration.
• Experience in installing, configuring, testing, troubleshooting and maintaining hardware servers and its components.
• Experience with initiating and executing initiatives in a global environment.
• Ability to lead and improve Environmental Health and Safety initiatives.
• Excellent performance with data gathering, analysis and presentation skills.
• Google isn't just a software company. The Hardware Operations team is responsible for monitoring the physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.
• Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.
• In this role, you will lead a team of Data Center Technicians who perform quality installations of server and network hardware and their components, and maintain and troubleshoot any tests while modeling teamwork with a positive impact to site culture. You will also manage day-to-day operations and guide the team through the installation, configuration, testing, troubleshooting and decommissioning of our servers. In a similar fashion, you will also oversee the deployment of network components of the data center, lead teams on installations and develop project contingency plans.
• The AI and Infrastructure team is redefining what s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Lead a team of individuals, set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
• Partner with teams to meet goals and stakeholders to manage facility activities and set/implement short and long-term strategies.
• Maintain, monitor, and execute security and operational procedures and track/analyze trends to identify opportunities for improvements ensuring alignment with organizational policies.
• Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues.
• Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Experience:

3 years required

Job type:

Full-time

• Support and maintain monthly ETL processes for actuarial data workflows.
• Provide technical support for Actuarial and Reinsurance teams.
• Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.
• Investigate and resolve data quality and consistency issues.
• Perform technical troubleshooting and root cause analysis for data-related problems.
• Assist in developing and maintaining data pipelines and integration workflows.
• Prepare and maintain technical documentation for data processes and systems.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Contribute to process improvements and knowledge sharing within the team.
• ABOUT YOU
• 0-3 years of experience in Data Engineering, Data Analytics, or a related field.
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Proficiency in T-SQL / SQL, with experience in Spark and Python.
• Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.
• Growth mindset with a proactive and solution-oriented attitude.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills in English and Thai, both written and spoken.
• Nice to have
• Knowledge of the insurance industry, particularly Actuarial or Reinsurance domains.
• Familiarity with WTW Unify or IBM DB2 (AS400) environments.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

Experience:

3 years required

Skills:

ETL, SQL, Python

Job type:

Full-time

• Collaborate with stakeholders to develop and implement AI & Data Management and Governance systems aligned with SCGP framework and roadmap.
• Execute system development initiatives and ensure successful adoption across business units to support business objectives.
• Promote and support the development of Data & AI capabilities across teams in line with governance framework.
• Monitor and enhance data quality to ensure reliability for business decision-making without significant impact.
• Develop and improve tools and processes for data governance such as data catalog, data quality monitoring, and data issue management.
• Support training initiatives and competency development for stakeholders including Data Owners and Data Stewards.
• Design and implement governance structures (e.g., RACI model) and KPIs to ensure accountability and performance tracking.
• Analyze data-related issues, identify root causes, and implement systematic solutions, including applying AI where appropriate.
• Manage roadmap execution, resource allocation, and project risks to ensure timely delivery.
• QualificationsBachelor's or Master's Degree in Computer Engineering, Computer Science, IT, Business IT, MIS, or related fields (Bachelor GPA > 2.70, Master GPA > 3.30).
• 3-6 years of experience in data management, data governance, or related areas.
• Strong knowledge in: Data warehouse design, ETL / data pipeline development, SQL, Python.
• Data governance, data quality, metadata / master data management, PDPA / GDPR.
• Data tools such as Power BI, Power Apps.
• Strong analytical thinking with ability to identify and solve data-related issues systematically.
• Good stakeholder management and cross-functional collaboration skills.
• Strong planning and project management skills with ability to drive roadmap execution.
• Good communication skills and ability to promote data & AI adoption across the organization.
• Attention to detail, adaptability, and continuous learning mindset.
• Good command of English in verbal and written (TOEIC > 550).
• Willing to work onsite at SCG Packaging Public Company Limited (Bangkok).
• Contact: Pupat (Mac) Email: [email protected]

Skills:

Express, SQL, Excel, English

Job type:

Internship

• Analyze internal and external data (generally with SQL, Excel, Python).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
• Translate complex data analysis into accessible business-focused reports and recommendations.
• Serving as in-house consultant for data-driven solutions.
• Maintain data pipelines, dashboards and automations.
• Requirements: Currently enrolled in a 4-year degree program in Computer Engineering, Computer Science, Statistics, or a related technical field.
• Strong proficiency in SQL and Python, with a solid understanding of software development practices.
• Fluent in English.

Skills:

Risk Management, Project Management, Social media, English

Job type:

Full-time

• Data Quality: Clean and update the database to ensure accuracy.
• Lead Generation Execution Identify service sales opportunities and from existing data.
• Marketing & Promotion: Execute outreach via Tele-marketing, Email, and Online channels to promote product.
• Campaign Deployment: Implement global business campaigns and coordinate actions with the Global Team.
• B. Responsibilities & duties: Marketing Event Management & Coordination Event Definition: Define objectives, scope, and agendas.
• Timeline: Schedule and coordinate all involved parties.
• Event Materials: Manage registration, opportunity detection tools, and gifts/premiums.
• Risk Management: Develop "Plan B" for potential emergencies.
• Tracking & Analysis Data Collection: Gather attendee feedback and participation data.
• Sales Handover: Transfer identified business opportunities to the Sales team.
• Tracking: Follow up and monitor the progress of all event-generated opportunities.
• C. Skills, English.
• Project Management.
• Social media & AI.
• Presentation & writing skills (email, briefing).
• D. Software, Excel, Word, Outlook, PowerPoint, MS-team.
• Saleforce.
• What will make you successful: Proven track record in database marketing and lead management operations.
• Strong analytical mindset with expertise in statistical analysis and customer segmentation.
• Experience with direct marketing campaigns and customer behavior analysis.
• Excellent communication skills to partner with sales teams and stakeholders.
• Demonstrated ability to translate data insights into actionable marketing strategies.
• Opportunity to shape and influence our global marketing operations strategy.
• Hands-on experience with cutting-edge marketing analytics tools and technologies.
• Collaborative environment working with cross-functional teams worldwide.
• Professional development and growth opportunities in marketing analytics.
• Chance to make a direct impact on business growth through data-driven decisions.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 40 billion global revenue
• 9% organic growth
• 150 000+ employees in 100+ countries.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Skills:

Data Analysis, SQL, Problem Solving, English

Job type:

Full-time

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

Experience:

1 year required

Skills:

Data Warehousing, Compliance, Kafka

Job type:

Full-time

• Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
• Guide organizations in adopting cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
• Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
• Shape long-term data strategies that foster flexibility, innovation, and interoperability across platforms.
• Data Governance & Advisory.
• Lead the development of governance frameworks and policies that ensure data security, compliance, and ethical AI use.
• Provide guidance on the creation and maintenance of data dictionaries, metadata management, and data cataloging, ensuring consistency, accuracy, and alignment with industry best practices.
• Advise on data quality management strategies, ensuring robust data lineage, accuracy, and reliability across the organization.
• Define governance roadmaps that support AI adoption while maintaining compliance with GDPR, CCPA, HIPAA, and other regulations.
• Cloud & Emerging Technologies.
• Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
• Advise on implementing real-time streaming solutions (Kafka, Kinesis, Pub/Sub) to support AI-driven analytics.
• Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
• Guide organizations in evaluating and adopting graph databases, NoSQL solutions, and modern data integration tools.
• Collaboration & Leadership.
• Act as a trusted advisor to C-level executives and business leaders, translating complex data challenges into strategic initiatives.
• Collaborate with data scientists, engineers, and business analysts to enhance data accessibility and usability.
• Drive innovation in data architecture, ensuring organizations remain competitive and AI-ready.
• Lead assessments of emerging data technologies and best practices to future-proof organizational data strategies.
• What You'll Bring.
• Required Skills & Qualifications.
• Education: Bachelor s or Master s in Computer Science, Data Science, Information Systems, or a related field.
• Experience: 10-16 years in data architecture, data engineering, or cloud-based data solutions.
• Flexibility to travel within SEA/Asia Pacific region.
• Deep knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
• Expertise in data governance, master data management (MDM), and compliance frameworks.
• Strong understanding of AI-ready data architectures and their impact on feature engineering and ML workflows.
• Ability to guide organizations on ETL/ELT strategy, data integration, and workflow automation.
• Familiarity with industry-standard data architecture frameworks (TOGAF, Zachman).
• Experience advising on real-time data streaming (Kafka, Kinesis, Pub/Sub).
• Preferred Qualifications.
• Certifications in cloud data platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
• Experience advising on Data Mesh and Data Fabric architectures.
• Knowledge of Graph databases and NoSQL solutions (MongoDB, Neo4j, Cassandra).
• Background in data ethics, responsible AI, and AI governance frameworks.
• More experienced candidates may be considered for appointment at the Principal/Director level.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

Experience:

2 years required

Skills:

Statistics, SQL, Analytical Thinking

Job type:

Full-time

• Design, develop, and maintain BI dashboards using Looker Cloud Core (Google Cloud).
• Build and maintain LookML models, including Views, Explores, and Data Layers.
• Gather business requirements and translate them into well-structured data models and dashboards.
• Analyze business data, develop insights, and provide data-driven recommendations. Sensitivity Label: General.
• Collaborate with Data Engineers to ensure efficient data pipelines and optimized datasets for Looker.
• Conduct data validation, quality checks, and troubleshoot LookML or dashboard issues.
• Support Looker users including onboarding, permissions, and user adoption.
• Maintain documentation such as Data Dictionaries, Metric Definitions, and Dashboard Guidelines.
• Build KPI frameworks and ensure consistent usage of metrics across teams.
• Bachelor s degree in data science, Computer Science, Statistics, MIS, Engineering, or related fields.
• 2-3 years of experience in Data Analysis, Business Analysis, or BI-related roles.
• Direct experience working in enterprise-level environments.
• Strong proficiency in Looker and LookML (mandatory).
• Strong SQL skills (complex joins, window functions, CTEs).
• Familiarity with Google Cloud Platform (especially BigQuery).
• Understanding of data modeling concepts such as Star Schema and Snowflake Schema.
• Strong analytical thinking and ability to translate business requirements into technical solutions. Experience in designing dashboards that communicate insights clearly and effectively.
• About NTT DATA
• NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters.
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Experience:

5 years required

Skills:

Power BI, SQL, Analytical Thinking

Job type:

Full-time

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
• Stay connected with us.
• Learn more at our website.
• Follow us onLinkedIn and X.
• Like us on Facebook.
• Subscribe our channel at YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Experience:

4 years required

Skills:

Electrical Engineering, Mechanical Engineering, English

Job type:

Full-time

• Supervise contractors who perform servicing or preventive maintenance.
• Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements.
• Perform root cause analysis for operational issues.
• Troubleshoot facility and rack level events.
• Ensure all personnel on-site follow safety protocols.
• Work on-call and a rotating schedule as needed.
• Take daily operational readings and provide metrics reporting to senior engineers.
• Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.
• A day in the life
• The Data Center Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center.Walk job sites in uneven terrain.
• Work at heights and from ladders.
• Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw.
• Regularly lift and/or move up to 4o pounds; and participate in group lifts for 41 pounds or more.
• Carry objects weighing up to 40 pounds for short distances.
• Work shifts longer than eight hours in duration.
• About AWS
• Diverse Experiences
• Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship and Career Growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• BASIC QUALIFICATIONS.
• Associates Degree or Technical Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
• Fluent in English language, both written and spoken.
• 2+ working in a Data Center or Mission Critical Environment.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
• 4+ years of Data Center Operation Experience.
• 2+ years with Microsoft Excel, Word, and Outlook.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

Experience:

4 years required

Skills:

Procurement, Electrical Engineering, Mechanical Engineering

Job type:

Full-time

• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
• Responsible for the on-site management of sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures.
• Manage relationship with third party Colocation providers and their facility staff.
• Responsible for the operation of and management of both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Data Center capacity planning and reporting.
• Assist in the design and build out of new facilities.
• May assist in projects to increase current Facility efficiency.
• Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency.
• Deliver quality service and ensure all customer demands are met.
• Procurement for DCEO related expenditure.
• Responsible for asset and inventory management.
• Diverse Experiences
• AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship and Career growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• BASIC QUALIFICATIONS.
• 4+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility.
• Ability to participate in a 24 x 7 rotating shift roster.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

Experience:

5 years required

Skills:

Electrical Engineering, Mechanical Engineering

Job type:

Full-time

• Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in a data center.
• Act as an escalation point for all facilities-related issues within the data center, escalating to the Data Center Facility Manager as needed.
• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
• Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams.
• Data Center capacity planning and reporting.
• Provide training and guidance to Engineering Operations Technicians.
• Ensure all safety procedures are adhered to by vendor and Amazon staff.
• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
• Communicate complex technical information to a non-technical audience.
• A day in the life
• Responsible for the on-site management of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation.
• Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
• Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA).
• Provide operational readings and key performance indicators to make sure uptime is maintained
• Diverse Experiences
• AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS?
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship & Career Growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud.
• BASIC QUALIFICATIONS.
• 5+ years of relevant work experience in a data center or other critical facility management.
• Hands-on experience and solid knowledge in MEP and facility operations.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
• Engineering licenses such as Associate Engineer, Professional Engineer, or equivalent.
• Electrical or mechanical operation license.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

Experience:

4 years required

Skills:

Electrical Engineering, Mechanical Engineering, English

Job type:

Full-time

• Supervise contractors who perform servicing or preventive maintenance.
• Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements.
• Perform root cause analysis for operational issues.
• Troubleshoot facility and rack level events.
• Ensure all personnel on-site follow safety protocols.
• Work on-call and a rotating schedule as needed.
• Take daily operational readings and provide metrics reporting to senior engineers.
• Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.
• A day in the life
• The Data Center Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center.Walk job sites in uneven terrain.
• Work at heights and from ladders.
• Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw.
• Regularly lift and/or move up to 4o pounds; and participate in group lifts for 41 pounds or more.
• Carry objects weighing up to 40 pounds for short distances.
• Work shifts longer than eight hours in duration.
• About AWS
• Diverse Experiences
• Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship and Career Growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• BASIC QUALIFICATIONS.
• Associates Degree or Technical Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
• Fluent in English language, both written and spoken.
• 2+ working in a Data Center or Mission Critical Environment or Equivalent.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.