เงื่อนไขการค้นหา

ทักษะ:

Product Development, Tableau, SQL

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

SQL

ประเภทงาน:

งานประจำ

• 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).

ทักษะ:

Risk Management

ประเภทงาน:

งานประจำ

• FB: Krungsri Career.
• LINE: Krungsri Career.
• Linkedin: Krungsri.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, TensorFlow, Statistics

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• 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!

ทักษะ:

Express, SQL, Excel, English

ประเภทงาน:

ฝึกงาน

• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, SQL, Python

ประเภทงาน:

งานประจำ

• 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]

ทักษะ:

Risk Management, Project Management, Social media, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Warehousing, Compliance, Kafka

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Statistics, SQL, Analytical Thinking

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, SQL, Analytical Thinking

ประเภทงาน:

งานประจำ

• 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.
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• 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Procurement, Electrical Engineering, Mechanical Engineering

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Legal, Financial Analysis, Project Management, English

ประเภทงาน:

งานประจำ

• Direct and manage contract guard force to run daily data center operations.
• Handle site security incidents, escalations or any other security related issues.
• Provide after-hours on-call management support and participate in emergent, large scale event response when needed.
• Participate in re-occurring data center security audits and reviews.
• Executes established compliance processes with AWS policies, standards, guidelines and relevant legal and regulatory requirements.
• Provides input on, and may develop security methodologies, policies and procedures.
• Write reports and communicate with management on the status of physical security operations.
• Oversee new security construction or retrofit projects.
• Manage the security P&L for assigned site(s), assist management with financial analysis and contribute to financial decisions for security requirements.
• Collaborate with other teams to protect AWS Data Center personnel, information and assets.
• A day in the life
• Mission: Deliver pioneering physical security by working vigorously to earn and keep customer trust; providing a safe and secure environment for our people, assets, and customer data.
• Vision: Develop exceptional security professionals, consistently apply security processes, and pioneer new technologies that effectively balance security requirements with operational needs.
• Diverse Experiences
• AWS 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.
• 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.
• BASIC QUALIFICATIONS.
• 3+ year s experience managing contract security and physical security operation programs such as Access Control/Intrusion Detection and CCTV Surveillance systems.
• 3+ years in Project Management experience and creating process improvement procedure.
• Experience in managing vendors/vendor teams.
• PREFERRED QUALIFICATIONS.
• Bachelor s degree and or equivalent professional experience in corporate or government security environment.
• 3+ years experience creating and implementing emergency planning programs, physical security countermeasures.
• Excellent oral and written communication skills.
• Proficiency in both Thai and English language.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• 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).
• Perform rack installs, rack decommissioning, and facility management.
• Provide operational readings and key performance indicators to make sure uptime is maintained.
• About AWS
• 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.
• Technical College Degree or Qualified Technical Diploma.
• Experience in mission critical environment with 5+ years of relevant work experience.
• An excellent understanding of the electrical and mechanical systems used in a data center, manufacturing or semiconductor environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• PREFERRED QUALIFICATIONS.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• Proficient in technical verbal and written communication skills.
• Data Center or facility experience is a plus advantage.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, Python, SQL, English

ประเภทงาน:

งานประจำ

• Planogram Optimization through space planning/management tools.
• Syndicated data (Nielsen, Kantar, Intage, Circana, etc.) management through budget ownership and stewarding agency relationships to drive max value, collaborating with country teams.
• Championing capability building of APAC teams in both POG optimization & Syn data through training and other means.
• Your role is pivotal in transforming data-driven insights into actionable strategies and elevating the commercial team's skills.
• Lead strategic KA customer focused Planogram (POG) optimization projects for APAC countries.
• Own and execute end-to-end planogram optimization projects for key APAC retailers using external tools (JDA, Tana power) and internal systems (POG Heatmap).
• Provide analytics-led insights for category management projects, JBPs, Range Reviews, POG proposals, including space-to-sales analysis, assortment optimization, and joint business plan inputs.
• Act as the subject matter expert for space planning and category management, supporting key customer presentations.
• Drive 3P Syndicated Data for APAC countries.
• Own overall APAC syn data budget, ensuring spending are optimized and aligned with strategic priorities.
• Own Area level Syn data reporting, working across Retail Analytics team members to deliver timely dashboards.
• Lead agency relationships at central level across APAC including contract renewals, cost negotiations, and subscription audits. o.
• Drive reporting cadence and own the annual/strategic presentations delivery by agencies, aligned to country & business/portfolio priorities.
• Champion capability building for POG optimization & Syndicated Data across APAC countries.
• Develop and share APAC-wide case studies and best practices, quantifying the business impact (e.g., sales lift, share gain) to build a repository of success stories.
• Design and deliver comprehensive training programs and workshops on POG optimization, category management principles, and the use of analytical tools to Key Account and Marketing teams. o.
• Guide country teams in maximizing value from Syn Data subscriptions, through training and best practice sharing.
• Foster a self-serve analytics culture by championing the use of data in daily decisionmaking across the commercial organization.
• Conduct workshops and "clinics" to provide ongoing support and upskill the commercial organization, fostering a community of POG & Syn Data -literate practitioners.
• Minimum bachelor's degree in Business, Analytics, or a related field; Master s degree is a plus.
• Must have min 5-7 years of experience in Planogram Management, Category Management, or Retail Analytics within the FMCG/CPG industry.
• Proven expertise in leading end-to-end POG projects and using specialized software (JDA Space Planning, Tana Power, or equivalent) is mandatory.
• Strong analytical skills with experience in retail data (POS, Syndicated Data).
• Strong financial acumen and budget and Syn Data agency / vendor management experience. Must be proficient with visualization tools like Power BI.
• Excellent communication, presentation, and influencing skills, with a proven ability to train and coach others.
• Experience working in a multi-country APAC environment is highly preferred.
• Fluent in English (verbal & written).
• Working knowledge with Python, SQL, SPSS.
• Working in or for countries: Japan, Korea, Taiwan, Australia, Thailand, Philippines, India, Singapore, Malaysia, Indonesia.
• Proven experience in creating training materials and delivering effective technical training to non-technical audiences.
• Excellent problem-solving skills and a passion for mastering and teaching complex tools.
• Thrive with an entrepreneurial mindset as an individual contributor.
• Team player and fosters connection by putting people first and building trusting relationships.
• Bangkok, Thailand.
• Bangalore, India.
• Jakarta, Indonesia.
• Taguig, PH.
• Worker Type: Permanent.
• Learn more about 3M s creative solutions to the world s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
• Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
• 3M Global Terms of Use and Privacy Statement.
• Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Assist in developing and maintaining data pipelines and ETL processes under guidance.
• Support workflow scheduling and monitoring using Apache Airflow.
• Work with large datasets using tools such as Apache Spark (training or hands-on exposure).
• Assist in developing backend/data services using Python or C# (.NET/.NET Core).
• Support database operations and basic optimization for MS SQL, PostgreSQL, or MySQL.
• Work with object storage solutions such as MinIO or similar platforms.
• Collaborate with data analysts and engineers to support data requirements.
• Help ensure data quality, integrity, and basic security practices across data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 1 - 2 years of experience as a Data Engineer or similar role.
• Basic proficiency in Python or C# (.NET/.NET Core).
• Familiarity with SQL and relational databases (MS SQL, PostgreSQL, MySQL).
• Familiarity with ClickHouse or other columnar databases is a plus.
• Exposure to Apache Airflow, Apache Spark, or similar tools is a plus.
• Understanding of basic ETL concepts and data processing workflows.
• Familiarity with object storage (e.g., MinIO) is a plus.
• Basic understanding of data warehousing or data modeling concepts.
• Strong willingness to learn, problem-solving mindset, and attention to detail.
• Good communication skills and ability to work in a team environment.
• Fluent in Thai with good command of English.