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Skills:
Big Data, Hive, SAS
Job type:
Full-time
Salary:
negotiable
- Experience migrating from on-premise data stores to cloud solutions.
- Knowledge of system design and platform thinking to build sustainable solution.
- Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
- Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
- Experience with agile software delivery and CI/CD processes.
- Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
- At least 3 years of experience in data analysis and modeling.
- Proficiency in Python, and SQL.
- Experience with data visualization tools such as Tableau, Grafana or similar.
- Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
- Contact : [email protected].
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".
Skills:
ETL, SQL, Data Analysis
Job type:
Full-time
Salary:
negotiable
- Data Pipeline Development: Create and maintain optimal data pipeline architecture.
- Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
- Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
- Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
- Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
- Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
- Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
- Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
- Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
- Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
- Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
- Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
- Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
- Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
- Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
- Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.
Job type:
Full-time
Salary:
negotiable
- เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
- เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
- สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
- ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
- ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
- พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
- Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.
Skills:
Data Analysis, ETL, Data Warehousing
Job type:
Full-time
Salary:
negotiable
- Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
- Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
- Data Modeling: Design and implement data models that are optimized for scalability, ...
- Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
- Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
- Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
- Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
- Bachelor's or master's degree in computer science, information systems, or a related field.
- Strong programming skills in languages such as Python, SQL. C++ is plus.
- At least 5 year experience with data modeling, database design, and data warehousing concepts.
- Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
- Familiarity with cloud-based data platforms, such as AWS.
- Knowledge of ETL tools and techniques for data integration and transformation.
- Location: BTS Ekkamai
- Working Day: Mon-Fri (WFA Every Friday).
Skills:
Research, Automation, Statistics
Job type:
Full-time
Salary:
negotiable
- Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
- Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
- Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
- Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
- Automate Tasks. Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.
- Bachelor Degree in IT, computer science, statistics, mathematics, business, or related field.
- Minimum of 3 years' experience in data engineer roles.
- Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
- Experience with data tools and languages like CLOUD, Python, Java similar.
- Experience with data processing, ETL and workflow and messaging queue like Kafka.
- Data Warehousing.
- Data Structure.
- ETL Tools Programming Languages (Python, Java, Pyspark).
Skills:
Finance, Risk Management, DevOps
Job type:
Full-time
Salary:
negotiable
- Manage day-to-day activities of a team of Security Architect Engineers.
- Design and implementation of advanced security architectures for applications, networks, and systems.
- Conducted comprehensive risk assessments and developed mitigation strategies.
- Design and implement security monitoring and incident response solutions.
- Stay abreast of emerging threats and vulnerabilities in the finance and crypto industry.
- Collaborate with cross-functional teams to ensure secure development practices.
- Mentor and guide junior security engineers.
- Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent professional experience.
- At least 2 years of experience in a security engineering role.
- Solid knowledge of security principles, cryptography, secure coding, threat modeling, and risk management.
- Familiarity with cloud security practices and secure DevOps methodologies.
- Demonstrates strong problem-solving, analytical, and critical thinking skills.
- Effective communication prioritization and collaboration abilities; work well in cross-functional teams.
- Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
- Important: Candidate Privacy Policy.
- สำคัญ:โปรดอ่านและทำความเข้าใจ: นโยบายความเป็นส่วนตัวด้านทรัพยากรบุคคล สำหรับผู้สมัครงาน และผู้สมัครเข้าฝึกงาน*..
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Experience:
3 years required
Skills:
.NET, Java, Linux, English, Thai
Job type:
Full-time
Salary:
฿50,000 - ฿90,000, negotiable
- Design, develop and maintain robust, scalable and efficient software solutions for the banking industry.
- Collaborate cross-functionally with stakeholders to understand business requirements and translate them into technical specifications.
- Write clean, maintainable and well-documented code using industry best practices.
- Participate in code reviews, pair programming and knowledge sharing to continuously improve engineering practices.
- Investigate and resolve complex technical issues, providing timely and effective solutions.
- Stay up-to-date with the latest trends and technologies in the software engineering field.
- Mentor and guide more junior members of the engineering team.
- What we're looking for.
- Minimum 5 years of experience as a software engineer, with a strong background in the banking industry.
- Proficiency in at least one modern programming language (e.g. Java, C++, Python) and associated frameworks.
- Solid understanding of software design patterns, data structures and algorithms.
- Experience working with relational databases and SQL.
- Familiarity with agile software development methodologies and best practices.
- Strong problem-solving and critical thinking skills.
- Excellent communication and collaboration abilities.
- Passion for staying up-to-date with the latest industry trends and technologies.
- What we offer
- Competitive salary.
- Comprehensive health insurance.
- Generous paid time off and flexible work arrangements.
- Opportunities for professional development and career advancement.
- Collaborative and inclusive team culture with regular social events.
- About us
- Integro Technologies Co., Ltd.' is a leading provider of innovative software solutions for the banking industry. With a strong focus on cutting-edge technology and exceptional customer service, we have established ourselves as a trusted partner for many of the top financial institutions in the region. Join our team and be a part of our continued growth and success.
- Apply now to become our next Senior Software Engineer!.
Skills:
Full Stack, Compliance, Java
Job type:
Full-time
Salary:
negotiable
- Develop and optimize fintech applications with modern technologies.
- Develop applications and APIs based on requirements, ensuring high code quality and efficiency.
- Manage tasks as directed by business management, aligning with project goals and deadlines.
- Create high-level and low-level system diagrams to effectively communicate design and functionality to stakeholders.
- Work on scalable microservices, cloud-based solutions, and APIs.
- Ensure best coding practices, security, and compliance in financial systems.
- Collaborate with cross-functional teams to drive innovation.
- Junior Engineers: 2+ years of experience, proficiency in Java/Python/C#/Go/Kotlin/JavaScript, and a passion for fintech..
- Senior Engineers/ Team Lead: 4+ years of experience, expertise in microservices, cloud platforms (AWS/GCP/Azure), databases (SQL/NoSQL), and DevOps..
- Strong problem-solving skills and a desire to work on impactful technical solutions..
- Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date..
Skills:
DevOps, Software Development, English
Job type:
Full-time
Salary:
negotiable
- Be team leader to drive squad to deliver software with quality and on plan.
- Manage team capacity to be able delivery software on plan and priority based.
- Co-ordinate with stakeholder (Business Team/Developer/QA/PO/TPM/DEVOPS/Solution Architect) to solve any blocking issue in software development.
- Work with team to come up with solution to solve business requirement/problems.
- Understand and adapt Web Front End Architecture, Microservice Architect, Event-Driven Architecture, Container Orchestration and Cloud technology to deliver software.
- Create software architect design to delivery functional/non-functional requirements.
- Facilitate team in Agile ceremony with SA/BA.
- Understand and adapt testing methodology.
- Understand and adapt Agile methodology in software development.
- Understand and adapt CI/CD and be familiar with DEVOPS tools in software development.
- Work with L1/L2 support team as L3 to solve any production issues within SLA.
- Be leader to be consultant for Jr./Sr. team member/teammate to solve some blocking issues.
- Bachelor's in Computer Science or related field.
- 6+ years proven experience leading teams to deliver high-quality software on schedule, managing team capacity, and prioritizing tasks effectively.
- Skilled in creating software architecture that meets both functional and non-functional requirements, along with clear documentation.
- Experienced in Agile methodologies, facilitating Agile ceremonies, and applying CI/CD practices with familiarity in DevOps tools.
- Proficient in troubleshooting production issues (L3 support), guiding team members, and mentoring junior engineers to overcome technical challenges.
- Good English proficiency.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
Experience:
5 years required
Skills:
Data Analysis, Python, SQL, English
Job type:
Full-time
Salary:
negotiable
- Analyze and organize raw data.
- Combine raw information from different sources.
- Designing and building data models to support business requirements.
- Developing and maintaining data ingestion and processing systems.
- Implementing data storage solutions. (databases and data lakes).
- Ensuring data consistency and accuracy through data validation and cleansing techniques.
- Conduct complex data analysis and report on results.
- Explore ways to enhance data quality and reliability.
- Working together with cross-functional teams to identify and address data-related issues.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
- At least 5 years of experience as a data engineer or in a similar role.
- Experience with schema design and dimensional data modeling.
- Experience and knowledge in Python development.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Experience building and optimizing data pipelines, architectures and data sets.
- Experience designing, building, and maintaining data processing systems.
- Experience with orchestration tools e.g. batch and real-time data processing.
- Experience with CICD pipeline data.
- Experience with big data.
- Familiarity with data integration and ETL tools.
- Strong problem-solving and analytical skills.
- Able to speak Thai fluently and basic command in English.
Skills:
Oracle, Project Management, Database Development, English
Job type:
Full-time
Salary:
negotiable
- Establish and maintain the project-wide Project Data Structure database and the corresponding guidelines and ensures that it is consistently applied throughout all relevant processes and tools across the project.
- Development and implementation of information management practices, including tools, guidelines and procedures.
- Assist stakeholders to define and understand their responsibilities in relation to information management.
- Engaging with stakeholders to identify areas in which effective information management can lead to overall business improvement.
- Administrates the collaboration platform Oracle Aconex, establishes uses cases and workflows, provides user support and interfaces with all stakeholders participating in the platform.
- Establish and monitor powerful key performance indicators for steering the project and generate project insights supporting project managers in their decision-making.
- Enhance processes to reduce time to create daily, weekly and monthly reports.
- Use your skills to move the world forward.
- Bachelor s or Master s degree in Engineering with Management, Business Administration, Data Analytics, Information Technology, etc.
- Strong knowledge on subsystems comprising a railway system e.g.: Signaling, Communication, Electrification, Rolling Stock, etc.
- Strong knowledge of core project management and engineering processes e.g.: Document Mgmt., Requirement Mgmt., Change Mgmt., Scheduling, Interface Mgmt., Configuration Mgmt., etc.
- Demonstrated experience and technical expertise in all fields of data analytics, incl. database development, data visualization, data processing and scripting is mandatory.
- Familiarity with Oracle Aconex, IBM DOORS, Oracle Primavera, Power BI, Microsoft Access, Microsoft Office 365 tools (e.g.: Power Platform, SharePoint, etc.).
- Good knowledge of Visual Basic, C#, SQL, XML.
- Fluent English language skills essential, both written and spoken.
- Why you ll love working for Siemens Mobility.
- We live and foster an ownership culture in which every employee takes personal responsibility for our Company's success. We invest in our team members, offering a wide variety of development.
- Flexible working arrangements.
- Flexible Benefits Program for employees & dependents.
- Medical Insurance for Spouse and Children.
- Siemens Share Options.
- National & International opportunities.
- Positive, inclusive and relaxed working environment.
- Join a team dedicated to transforming the everyday for a more sustainable future.
- Siemens prides itself on its diverse workforce.
- Siemens has been recognised as ahead of its time for many reasons, and our progressive policies is one of them. We encourage applications that reflect the diversity of the communities within which we work.
- We are a proud equal opportunity employer, where we continue to push for a work environment of diversity and inclusion, we also believe that differences in personalities, thoughts and ideas are important, and that is why we know diversity and inclusion is very important in helping realise the potential of our people. As part of our Ownership culture, Siemens supports reasonable flexible working practices that empower our employees to best meet work and personal commitments.
Skills:
Tableau, Power BI, Excel
Job type:
Full-time
Salary:
negotiable
- Leads and improves analytical programs and presents the results.
- Analyzes the variable granular data of the business and regularly uses advanced models to deliver business insights across diverse business domains.
- Answers and anticipates critical business questions and opportunities and delivers insights to the business in ways that make significant impact.
- Demonstrates use of data visualization (Tableau, Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from mountains of data.
- Collaborates with multifunctional teams (Operations, Initiatives, and IT etc.) to improve key business priorities based on data-driven insights.
- Lead the roll-out and development of digital solution per business needs.
Experience:
2 years required
Skills:
Data Analysis, Python, SQL, English
Job type:
Full-time
Salary:
negotiable
- Analyze and organize raw data.
- Combine raw information from different sources.
- Designing and building data models to support business requirements.
- Developing and maintaining data ingestion and processing systems.
- Implementing data storage solutions. (databases and data lakes).
- Ensuring data consistency and accuracy through data validation and cleansing techniques.
- Conduct complex data analysis and report on results.
- Explore ways to enhance data quality and reliability.
- Working together with cross-functional teams to identify and address data-related issues.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
- 2-5 years of experience as a data engineer or in a similar role.
- Experience with schema design and dimensional data modeling.
- Experience and knowledge in Python development.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Experience building and optimizing data pipelines, architectures and data sets.
- Experience designing, building, and maintaining data processing systems.
- Experience with orchestration tools e.g. batch and real-time data processing.
- Experience with CICD pipeline data.
- Experience with big data.
- Familiarity with data integration and ETL tools.
- Strong problem-solving and analytical skills.
- Able to speak Thai fluently and basic command in English.
Skills:
ETL, Big Data, SQL
Job type:
Full-time
Salary:
negotiable
- Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
- Experience with Big Data or data warehouse.
- Analyze & translate functional specifications & change requests into technical specifications.
- Experience in SQL programming in one of these RDBMSs such as Oracle.
- Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
- Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
- Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
- Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
- Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
- Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
- Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
- Proficiency in cloud platforms such as AWS, Azure, and associated services.
- Knowledge of IAC tools like Terraform or Azure ARM.
- Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
- Good understanding of IT Operations.
- Strong problem-solving skills and the ability to troubleshoot complex issues.
- Excellent communication and teamwork skills to collaborate effectively across various teams.
- We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
Skills:
Data Analysis, SQL, Problem Solving, English
Job type:
Full-time
Salary:
negotiable
- 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:
3 years required
Job type:
Full-time
Salary:
negotiable
- Meet daily hours of operations, on call requirements and response during rotations.
- Manage minor and major planned and unplanned site works for critical infrastructure, with a solid understanding of the works involved, risks, mitigation and seeking approvals within relevant SLA s as required.
- 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.
- Prepare reports on all aspects of the data center facility infrastructure operations and maintenance.
- Generate change management requests & incident management tickets for DCEO activities.
- Coordinate with DCO managers (IT), Networking, Logistics, Safety, Security and other business leaders and operating partners to execute projects, manage capacity, and optimize plant safety, performance, reliability, sustainability and efficiency.
- Review and follow the documentation relevant to technical support of business & facility operations.
- Implement projects to increase current facility capacity, efficiency, sustainability & reliability.
- Support operating partners in the resolution of any infrastructure engineering issues.
- A day in the lifeSupport troubleshooting 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.
- Performance and oversight of maintenance and operations on all electrical, mechanical, and fire/life safety equipment within the data center.
- Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations.
- 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 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.
- 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.
- 3+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility.
- Familiar with the concepts and interaction of Service Management systems (Problem and Change).
- Ability to participate in a 24 x 7 rotating shift roster.
- PREFERRED QUALIFICATIONS.
- Trade or Diploma 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:
AutoCAD, Visio, English
Job type:
Full-time
Salary:
negotiable
- Responsible for planning preventive maintenance schedules for the electrical system.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementing Electrical such as MU, TR, MDB, GEN, UPS, RECT, BATT, ATS.
- Bachelor degree of Engineering, Electrical engineering or related field.
- More than 5 years of experience in maintenance of electrical systems such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS: implement and support electrical systems in buildings or Data Centers.
- At least 1 years experience in designing electrical systems (such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS). implement, and support for electrical systems in building.
- Able to use the program AutoCAD, Visio.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial for both reading and writing.
- Work Location: TrueIDC - Bangna Site (KM26).
Skills:
ETL, Big Data, SQL
Job type:
Full-time
Salary:
negotiable
- Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
- Experience with Big Data or data warehouse.
- Analyze & translate functional specifications & change requests into technical specifications.
- Experience in SQL programming in one of these RDBMSs such as Oracle.
- Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
- Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
- Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
- Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
- Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
- Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
- Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
- Proficiency in cloud platforms such as AWS, Azure, and associated services.
- Knowledge of IAC tools like Terraform or Azure ARM.
- Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
- Good understanding of IT Operations.
- Strong problem-solving skills and the ability to troubleshoot complex issues.
- Excellent communication and teamwork skills to collaborate effectively across various teams.
- We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
Experience:
3 years required
Skills:
English
Job type:
Full-time
Salary:
negotiable
- Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementation of Mechanical such as comfort air, precision air.
- Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
- Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
- Bachelor degree of Engineering, Mechanical engineering or related field.
- At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
- At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
- Able to Air - Diagram and Psychrometric chart knowledge.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial.
- Work Location: TrueIDC - Bangna Site (KM26).
Experience:
2 years required
Skills:
Research, Python, SQL
Job type:
Full-time
Salary:
negotiable
- Develop machine learning models such as credit model, income estimation model and fraud model.
- Research on cutting-edge technology to enhance existing model performance.
- Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
- Develop sentimental analysis model in order to support collection strategy.
- Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
- 2-5 years of experiences in programming languages such as Python, SQL or Scala.
- 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
- Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
- Experience with source version control (Git, Bitbucket).
- Proven knowledge on Rest API, Docker, Google Big Query, VScode.
- Strong analytical skills and data-driven thinking.
- Strong understanding of quantitative analysis methods in relation to financial institutions.
- Ability to clearly communicate modeling results to a wide range of audiences.
- Nice to have.
- Experience in image processing or natural language processing (NLP).
- Solid understanding in collection model.
- Familiar with MLOps concepts.
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