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Experience:

5 years required

Skills:

Compliance, Mechanical Engineering, AutoCAD, English

Job type:

Full-time

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

Skills:

ETL, SQL

Job type:

Full-time

• เฝ้าระวังและตรวจสอบสถานะการทำงานของ ETL jobs และ data pipelines ต่างๆ ผ่านระบบ Monitoring tools.
• วิเคราะห์และแก้ไขปัญหาที่เกิดขึ้นเมื่อ Job ทำงานไม่สำเร็จ หรือล่าช้า และแก้ไขเบื้องต้น.
• ประสานงานกับทีมที่เกี่ยวข้อง เพื่อแก้ไขปัญหาที่ซับซ้อน.
• เขียนและใช้คำสั่ง SQL ได้เป็นอย่างดีเพื่อสืบค้น ตรวจสอบ และจัดการข้อมูล.
• จัดทำเอกสาร หรือส่งรายงานสรุปปัญหาและแนวทางแก้ไขที่เกิดขึ้นให้กับผู้เกี่ยวข้อง.
• Qualificationsปริญญาตรี สาขาวิทยาการคอมพิวเตอร์, เทคโนโลยีสารสนเทศ, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 0 - 2 ปี.
• Required Skills:Data Platform, Data Warehouse, Data Integration, SQL, ETL Tools,.
• การแก้ไขปัญหาเฉพาะหน้า.
• มีความละเอียดรอบคอบ.
• ทำงานภายใต้ความกดดันได้ดี..

Job type:

Full-time

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

Skills:

ETL, Power BI, SQL

Job type:

Full-time

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

Experience:

5 years required

Job type:

Full-time

• 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.

Skills:

Python, SQL, Java

Job type:

Full-time

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems..
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 3 years of experience in data engineering.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.

Experience:

5 years required

Skills:

Python, ETL, Java

Job type:

Full-time

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

Experience:

4 years required

Skills:

Electrical Engineering, Mechanical Engineering, English

Job type:

Full-time

• Supervise contractors who perform servicing or preventive maintenance.
• Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements.
• Perform root cause analysis for operational issues.
• Troubleshoot facility and rack level events.
• Ensure all personnel on-site follow safety protocols.
• Work on-call and a rotating schedule as needed.
• Take daily operational readings and provide metrics reporting to senior engineers.
• Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.
• 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.
• 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.
• Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling.
• 2+ with Microsoft Excel, Word, and Outlook.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

Experience:

4 years required

Skills:

Procurement, Electrical Engineering, Mechanical Engineering

Job type:

Full-time

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

Experience:

3 years required

Skills:

Compliance, ISO 27001

Job type:

Full-time

• Digital Solutions Engineer.
• วันที่.
• 23/12/2024.
• Research and develop, implement and mentoring the team about leading solution architecture, evaluating emerging technologies and technical expertise to guide the development and implementation of digital solutions in alignment with organizational objectives.
• 3-5 Years in Handling IT equipment and infrastructure, Service/System support and technical problem solving and 0-3 Years in Project management and Enterprise Architecture.

Job type:

Full-time

• Launch your career in Technology by contributing to live projects with leading technology, collaborating with and being mentored by world class talent.
• Progress through a 12-month development journey aiming to build foundational skills that are key for your future success.
• Participate in group projects which are aligned to LSEG s sustainability priorities.
• Access opportunities to earn industry recognized qualifications.
• Connect with global early careers community and opportunities and contribute to wider society via CSR initiatives and volunteering opportunities.
• Our graduates join us on a permanent basis, and from day one you will be aligned to a division, which will allow you to develop within a secure framework. During the recruitment process we will get to know your skills and interest and how they align to the needs of the business, to allow us to place you in the right division. What we are looking for: We are passionate about recruiting people who have a genuine curiosity about Technology and strive to pursue a Technology career path, as evidenced by their studies, extracurriculars or work experience. It s important to us that you can also understand the breadth of our organisation, how it functions and the vital role that technology plays in supporting LSEG and our clients. You will have a strong interest in technology proven either via your work experience, extracurricular activities, or academic studies. For instance, you may have secured an internship in a technology role or focused on technology as part of a university project. You may have learnt how to code or how to use a particular technology.
• You should have a demonstrable interest in financial markets, which you ve built through your studies, work experience or extracurricular activities.
• A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.
• Individuals who can connect the dots and think strategically.
• The environment we work in is fast paced, you ll need to demonstrate focus, resilience and the flexibility to adapt to changing demands.
• People who can collaborate with others, using their communication skills in the process.
• Ideal candidates will have the rights to work in the Romania without restrictions.
• We are considering candidates beyond the core software degrees (e.g. computer science, software engineering, Mathematics and Informatics) and candidate with physics, engineering, electronic degree who can demonstrate an interest in Technology as evidenced by extracurriculars or work experience, or personal projects can apply.
• Application close: 31st January, however we recommend an early application because we consider candidates on a rolling basis. Due to the volume of applications, we might close the applications earlier, so we recommend an early application. Recruitment Process: The first stage of the recruitment process involves making an application and submitting your resume.
• The next stage of the application process is an untimed Immersive Online Assessment. The assessment is designed to give you an insight into what it s like to work at LSEG.
• The third stage is a video interview where you will answer a series of questions using a strength-based-interview style.
• The final stage is a half day assessment centre which involves several different types of exercises - further information is provided at the point of invite.
• Please review all the graduate programme opportunities and make one application If you make more than one application, we will review your first application only. Please note, all our assessment centres are held virtually
• Life at LSEG At LSEG, we provide our employees with a comprehensive benefits portfolio as part of a competitive total rewards package. Our benefit plans are designed to supplement the financial, emotional and physical wellbeing of our employees and their families at all stages of their life. We encourage an appreciative, collaborative and inclusive culture that promotes employee and organisational wellbeing. We believe hybrid working makes more possible and recognise difference as a good thing. We want to set everyone up to bring their best self to work. Everyone will spend time with colleagues in the office, but you ll be trusted to work flexibly, in a way that delivers excellence. Career Stage: Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Experience:

5 years required

Skills:

Statistics, ETL, SQL

Job type:

Full-time

• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or related technical discipline.
• 5+ years experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

Skills:

Salesforce, Compliance, Data Warehousing, English

Job type:

Full-time

• Support the sales cycle, covering the technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce.
• Design, build, and present hands-on Proof of Concepts (POCs) and demonstrations for Data Cloud and Agentforce, showcasing their power and viability to technical stakeholders.
• Explain the technical and business benefits of the Salesforce Customer 360 platform, with a strong focus on Data Cloud and Agentforce, to IT and technical stakeholders.
• Understand, assess, and define technical customer requirements, focusing on AI, data management, and operational data utilisation.
• Advise CIO/CTO/CXO-level contacts and their IT teams on adopting cloud architectures, particularly how to leverage unified customer data and generative AI effectively.
• Answer deep technical questions related to the capabilities and integration of Salesforce Data Cloud, AI, and Agentforce solutions.
• Establish close relationships with customer technical stakeholders and act as a trusted advisor on data and AI strategy.
• Respond to RFPs, focusing on the technical components of data, AI, and integration.
• Coach and mentor fellow pre-sales colleagues on the technical aspects of Data Cloud and Agentforce.
• Be a thought leader on specific technology topics like Generative AI and Data Strategy.
• Drive innovation projects with impact (POCs, MVPs).
• Maintain awareness of technical best practices related to data governance, security, and compliance.
• Proven track record of running hands-on, successful technical Proof of Concepts (POCs) for complex AI and/or Data solutions.
• Relevant background and deep technical expertise in AI, Machine Learning, and/or Advanced Data Solutions (e.g., CDP, Data Warehousing, Data Lake, etc.).
• Fluent in English and local language (Thai).
• Experience in pre-sales, e.g., solution engineering or technical architecture.
• Multi-year experience in software, system, or enterprise architecture disciplines.
• Strong understanding of data integration patterns, data synchronisation, and data volume considerations in a cloud environment.
• Good understanding of the architectural principles of cloud-based platforms, including SaaS, PaaS, multitenancy, and multi-tiered infrastructure.
• General interest in staying at the forefront of current technology developments and keeping knowledge up to date.
• Direct experience with Salesforce Data Cloud, Agentforce, Marketing Cloud, or Service Cloud (Agentforce) solutions.
• Experience with Large Language Models (LLMs) and Generative AI architectures.
• Salesforce Certified Architect or relevant Data/AI certifications (e.g., AWS, Azure, GCP Data/ML certifications).
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• Knowledge of data architecture principles, including data modeling, ETL/ELT, data governance, and data quality.
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Experience:

5 years required

Skills:

Power BI, SQL, Analytical Thinking

Job type:

Full-time

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
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• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
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• 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.
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• 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.
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Experience:

5 years required

Skills:

AutoCAD, Visio, English

Job type:

Full-time

• 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:

Data Analysis, SQL, Problem Solving, English

Job type:

Full-time

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

Experience:

3 years required

Skills:

English

Job type:

Full-time

• 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).

Skills:

ISO 27001, English

Job type:

Full-time

• รับผิดชอบการ Monitoring ควบคุมและจัดการระบบพื้นฐานเกี่ยวกับ ไฟฟ้า และระบบปรับอากาศ ระบบเครือข่าย เพื่อสนับสนุนการจัดการ.
• ตอบสนองความต้องการของลูกค้า และประสานงาน การติดตั้งและการแก้ไขปัญหาระบบของผู้บริการ (vendor) เพื่อให้ถูกต้องและสมบูรณ์ตามหลักปฎิบัติ.
• ควบคุมและประสานงานการบำรุงรักษาและการซ่อมแซม (Preventive Maintenance) ระบบพื้นฐานต่างๆ เครื่องกำเนิดไฟฟ้า Generator, เครื่องสำรองไฟฟ้า UPS, ระบบตู้ไฟฟ้า, ระบบปรับอากาศ และการติดตั้งอุปกรณ์ระบบเครือข่าย (Network) เป็นต้น.
• เป็น 1st level support & troubleshooting ของระบบ Facility ใน Data Center เช่น ระบบ Network, ระบบไฟฟ้า, ระบบปรับอากาศ เป็นต้น.
• จัดทำกระบวนการปฎิบัติงาน และคู่มือการทำงานในการดูแลระบบพื้นฐาน โดยอิงตามมาตราฐาน ISO หรือมาตรฐานอื่นที่เกี่ยวข้องกับการปฏิบัติงาน (เช่น ISO 20000 ด้านบริการ, ISO 27001 ด้านความปลอดภัย,ISO 50001 ด้านบริหารพลังงาน และอื่นๆ เช่น ISO22301, PCIDSS, TCOS) รวมทั้งรูปแบบใบบันทึก, รายงานต่าง ๆ.
• สรุปและรายงานผลสำหรับปัญหาวิกฤติใด ๆ ต่อหัวหน้าทีม รวมทั้ง การจัดทำรายงานสถิติ,รายงานวิเคราะห์แบบรายวัน, รายเดือน รายไตรมาส ด้วย.
• Bachelor s degree in electrical power, mechanic or related fields.
• Thai nationality, Male, Age 20 - 25 years old.
• Have basic technical knowledge in Data Center facilities (Electrical/Mechanical).
• Able to work under pressure.
• Able to work with a team.
• Fair communication in English.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• 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.