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Experience:

6 years required

Skills:

SAP, Finance, ETL, English

Job type:

Full-time

• Engage clients in workshops and interviews to understand data structures, legacy systems, and migration requirements.
• Analyze source data, assess data quality, and define data migration strategy and approach.
• Advise clients on SAP-recommended data models, migration best practices, and governance.
• Design data mapping, transformation logic, and validation rules between legacy systems and SAP.
• Support data extraction, cleansing, transformation, loading, and reconciliation activities.
• Execute data migration cycles including mock loads, SIT, UAT, and cutover rehearsals.
• Develop migration documentation, templates, and tracking tools.
• Collaborate with functional and technical teams to ensure data readiness for end-to-end processes.
• Support change management by preparing user guidance and assisting business users during validation.
• Build effective working relationships with clients, project teams, and internal stakeholders.
• 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, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• RequirementsA good honors degree in Information Technology, Business Information Systems, Business, Engineering, Mathematics, or related disciplines.
• Minimum 6 years of hands-on experience in SAP Data Migration, with at least one end-to-end full lifecycle implementation (from design to go-live).
• Solid understanding of SAP implementation methodology and the full data migration lifecycle (Extract, Transform, Load, Validate, Reconcile).
• Experience with SAP S/4HANA data structures (e.g., Business Partner, Material Master, Finance objects) is highly preferred.
• Familiarity with migration tools such as SAP Migration Cockpit, LSMW, ETL tools, or custom programs is an advantage.
• Exposure to Oil & Gas or asset-intensive industries is a strong plus.
• Strong analytical mindset with the ability to understand complex business data and translate it into migration logic.
• Demonstrated ability to work effectively in a multi-cultural and cross-functional project environment.
• Good communication and presentation skills in English, with confidence to engage client stakeholders.
• Ability to facilitate data workshops and lead discussions on migration approach and data readiness.
• High attention to detail, structured thinking, and strong problem-solving skills.
• Proven capability to manage multiple tasks under tight timelines in a project-based environment.
• Strong sense of ownership, teamwork, and professional accountability.
• Willingness to work outside office base when required.
• 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: 112570In 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.

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

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.

Experience:

5 years required

Skills:

ETL, Risk Management, Accounting, English

Job type:

Full-time

• Lead client engagements to elicit requirements, define business rules, and align project scope with product and development teams.
• Translate stakeholder needs into clear deliverables, including BRDs/FRDs, user stories, use cases, acceptance criteria, process and workflow diagrams, and data mappings.
• Develop detailed business analyses that identify problems, opportunities, and solution options, including impact assessments and key assumptions.
• Collaborate with architects and engineers to design solutions, and maintain comprehensive system and process documentation.
• Plan and support testing activities such as test scenario design, SIT, and UAT to ensure requirements are properly validated.
• Serve as the primary liaison between business users and developers, ensuring clear and shared understanding throughout the project lifecycle.
• Support related tasks across the SDLC, including backlog refinement, change management, user training, go-live preparation, and post-implementation review.
• Bachelor s or Master s degree in Computer Science, Software Engineering, Computer Engineering, ICT, IT, or a related technical field.
• 5+ years of experience in business requirement gathering and data mapping, with a strong focus on Data Warehouse or Data Lake projects within the financial services or banking industry.
• In-depth knowledge and hands-on experience with Enterprise Data Warehouses, Data Models, Data Marts, and ETL/ELT processing.
• Strong understanding of banking domains, including Retail Banking, Corporate Banking, Risk Management, Finance & Accounting (GL), and Regulatory Compliance such as BOT and Credit Bureau.
• Experience with BOT Data Sets or the RDT Project is an advantage.
• Proficient in gathering, analyzing, documenting, and managing business and functional requirements for data transformation and integration.
• Foundational understanding of Data Modeling concepts.
• Excellent interpersonal and communication skills; experienced in coordinating with business users, IT teams, infrastructure, and security departments.
• Strong planning and organizational abilities; self-motivated, results-driven, and a collaborative team player with a can-do attitude.
• Adaptable and quick to learn new business domains, tools, and processes.
• Fluent in Thai with strong English communication skills (both written and spoken).

Job type:

Full-time

• Apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
• Build data collection frameworks for structured and unstructured data.
• Build and maintain infrastructure systems such as data warehouses, data lakes and data access application programming interfaces (APIs).
• Define data standards, improve data efficiency catalogues and ensure data quality.
• Responsible for other relating tasks as assigned to align with business policy and build long term business growth.
• Explore opportunity to improve work flow and build healthy environment.
• Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
• In accordance with recruitment policy and hiring standard of AIA (Thailand) Company Limited, after completing the selection process, you are required for criminal background check before joining the company. Your criminal record information will be retained according to the PDPA policy of the company. As per attached link
• https://www.aia.co.th/th/about-aia/privacy/candidate Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives. You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

Experience:

5 years required

Skills:

Power BI, SQL, Analytical Thinking

Job type:

Full-time

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

Experience:

2 years required

Skills:

SQL, DevOps, Automation, English

Job type:

Full-time

• Design, develop, and optimize ETL processes using Databricks to support large-scale data processing and analytics.
• Build and maintain batch and stream ETL/ELT workflows for structured and semi-structured data using data bricks and Azure Services.
• Establish integration between prem platform and azure storage to establish the incremental copy.
• Develop efficient, reusable, and version-controlled Databricks notebooks and workflows.
• Implement data transformation, cleansing, and validation logic to ensure data accuracy.
• Design and manage curated data layers supporting reporting and advanced analytics.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Leverage SQL/Spark for data extraction, transformation, and analysis.
• Apply strong problem-solving and debugging skills to identify and resolve issues in data pipelines and workflows.
• Migrate the reports from Traditional database to Databricks environment with optimized schema and schema structures and validate the data.
• Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.
• Implement DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• 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, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Minimum 2 years of experience.
• Possess 2 or more years in solution, architecting, design and development experience in enterprise/ architecture projects.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Applying design concepts - Service oriented architecture, layered architectures, components, interfaces, messaging and patterns.
• Application integration service support components.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• E2E integration experience (Hybrid cloud model).
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• work closely with application development and testing teams to support Data ETL build and supports project activities especially on Data and ETL platforms.
• Release Management (strong in GIT) and Azure Control M.
• Good to Have:Continued learning certifications, at least one of the following: AWS Certified Solutions Architect, Google Cloud Certified Architect, Microsoft Azure Solutions Architect,.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• 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: 112515In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Experience:

4 years required

Skills:

SAP, Finance, ETL, English

Job type:

Full-time

• Engage clients in workshops and interviews to understand data structures, legacy systems, and migration requirements.
• Analyze source data, assess data quality, and define data migration strategy and approach.
• Advise clients on SAP-recommended data models, migration best practices, and governance.
• Design data mapping, transformation logic, and validation rules between legacy systems and SAP.
• Support data extraction, cleansing, transformation, loading, and reconciliation activities.
• Execute data migration cycles including mock loads, SIT, UAT, and cutover rehearsals.
• Develop migration documentation, templates, and tracking tools.
• Collaborate with functional and technical teams to ensure data readiness for end-to-end processes.
• Support change management by preparing user guidance and assisting business users during validation.
• Build effective working relationships with clients, project teams, and internal stakeholders.
• 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, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• RequirementsA good honors degree in Information Technology, Business Information Systems, Business, Engineering, Mathematics, or related disciplines.
• Minimum 2-4 years of hands-on experience in SAP Data Migration, with at least one end-to-end full lifecycle implementation (from design to go-live).
• Solid understanding of SAP implementation methodology and the full data migration lifecycle (Extract, Transform, Load, Validate, Reconcile).
• Experience with SAP S/4HANA data structures (e.g., Business Partner, Material Master, Finance objects) is highly preferred.
• Familiarity with migration tools such as SAP Migration Cockpit, LSMW, ETL tools, or custom programs is an advantage.
• Exposure to Oil & Gas or asset-intensive industries is a strong plus.
• Strong analytical mindset with the ability to understand complex business data and translate it into migration logic.
• Demonstrated ability to work effectively in a multi-cultural and cross-functional project environment.
• Good communication and presentation skills in English, with confidence to engage client stakeholders.
• Ability to facilitate data workshops and lead discussions on migration approach and data readiness.
• High attention to detail, structured thinking, and strong problem-solving skills.
• Proven capability to manage multiple tasks under tight timelines in a project-based environment.
• Strong sense of ownership, teamwork, and professional accountability.
• Willingness to work outside office base when required.
• 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: 112561In 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.

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:

5 years required

Skills:

SQL, DevOps, Automation, English

Job type:

Full-time

• Design, develop, and optimize ETL processes using Databricks to support large-scale data processing and analytics.
• Build and maintain batch and stream ETL/ELT workflows for structured and semi-structured data using data bricks and Azure Services.
• Establish integration between prem platform and azure storage to establish the incremental copy.
• Develop efficient, reusable, and version-controlled Databricks notebooks and workflows.
• Implement data transformation, cleansing, and validation logic to ensure data accuracy.
• Design and manage curated data layers supporting reporting and advanced analytics.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Leverage SQL/Spark for data extraction, transformation, and analysis.
• Apply strong problem-solving and debugging skills to identify and resolve issues in data pipelines and workflows.
• Migrate the reports from Traditional database to Databricks environment with optimized schema and schema structures and validate the data.
• Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.
• Implement DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• 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, Associates / Analysts / Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Requirements:Minimum 5 - 10 years of experience.
• Possess 5 years in solution, architecting, design and development experience in enterprise/ architecture projects.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Applying design concepts - Service oriented architecture, layered architectures, components, interfaces, messaging and patterns.
• Application integration service support components.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• E2E integration experience (Hybrid cloud model).
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• work closely with application development and testing teams to support Data ETL build and supports project activities especially on Data and ETL platforms.
• Release Management (strong in GIT) and Azure Control M.
• Good to Have:Continued learning certifications, at least one of the following: AWS Certified Solutions Architect, Google Cloud Certified Architect, Microsoft Azure Solutions Architect,.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• 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: 111930In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Experience:

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).

Skills:

Compliance

Job type:

Full-time

• Perform operations to ensures 24/7 high availability for all the production databases system.
• Troubleshoot, advise and being hands-on on databases and servers during critical incidents.
• Secure and advise database by follow current policies, procedures, and controls.
• Assess and plan to upgrades obsoleted database version and coordinate with all related party to deliver good database service to business.
• Day to day database operation support and monitoring.
• Maintains database results by setting and enforcing standards and controls.
• Co-ordinate, advise and support developer or vendors to implement new/change DB and application related.
• Prepares for database expansion by studying plans and requirements; coordinating with Infrastructure teams.
• Collaborates with the security and audit teams to protect our data across all databases and to ensure compliance to all applicable regulations.
• Take a lead role to implement and administer database system with proper design and security control by get guideline from manager.

Skills:

SQL, ETL, Project Management, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• 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).
• Knowledge of relevant data privacy and compliance requirements is a plus.
• Knowledge of data architecture principles, including data modeling, ETL/ELT, data governance, and data quality.
• Unleash Your Potential.
• When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world.
• Accommodations.
• If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
• Posting Statement.
• Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Experience:

1 year required

Skills:

Data Warehousing, Compliance, Kafka

Job type:

Full-time

• Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
• Guide organizations in adopting cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
• Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
• Shape long-term data strategies that foster flexibility, innovation, and interoperability across platforms.
• Data Governance & Advisory.
• Lead the development of governance frameworks and policies that ensure data security, compliance, and ethical AI use.
• Provide guidance on the creation and maintenance of data dictionaries, metadata management, and data cataloging, ensuring consistency, accuracy, and alignment with industry best practices.
• Advise on data quality management strategies, ensuring robust data lineage, accuracy, and reliability across the organization.
• Define governance roadmaps that support AI adoption while maintaining compliance with GDPR, CCPA, HIPAA, and other regulations.
• Cloud & Emerging Technologies.
• Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
• Advise on implementing real-time streaming solutions (Kafka, Kinesis, Pub/Sub) to support AI-driven analytics.
• Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
• Guide organizations in evaluating and adopting graph databases, NoSQL solutions, and modern data integration tools.
• Collaboration & Leadership.
• Act as a trusted advisor to C-level executives and business leaders, translating complex data challenges into strategic initiatives.
• Collaborate with data scientists, engineers, and business analysts to enhance data accessibility and usability.
• Drive innovation in data architecture, ensuring organizations remain competitive and AI-ready.
• Lead assessments of emerging data technologies and best practices to future-proof organizational data strategies.
• What You'll Bring.
• Required Skills & Qualifications.
• Education: Bachelor s or Master s in Computer Science, Data Science, Information Systems, or a related field.
• Experience: 10-16 years in data architecture, data engineering, or cloud-based data solutions.
• Flexibility to travel within SEA/Asia Pacific region.
• Deep knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
• Expertise in data governance, master data management (MDM), and compliance frameworks.
• Strong understanding of AI-ready data architectures and their impact on feature engineering and ML workflows.
• Ability to guide organizations on ETL/ELT strategy, data integration, and workflow automation.
• Familiarity with industry-standard data architecture frameworks (TOGAF, Zachman).
• Experience advising on real-time data streaming (Kafka, Kinesis, Pub/Sub).
• Preferred Qualifications.
• Certifications in cloud data platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
• Experience advising on Data Mesh and Data Fabric architectures.
• Knowledge of Graph databases and NoSQL solutions (MongoDB, Neo4j, Cassandra).
• Background in data ethics, responsible AI, and AI governance frameworks.
• 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.

Skills:

Big Data, Financial Analysis, Risk Management

Job type:

Full-time

• Analyzing and understanding the business processes before identifying and communicating the technical software requirements.
• Create business cases for the deployment of robotic and cognitive automation.
• Map current state, design solution, implement robot, test and deploy in a context of client operating model transformation.
• Design process solutions in accordance to standard design principles & conventions.
• Configuring new automated processes and objects using core workflow principles that are efficient, well- structured, maintainable and easy to understand.
• Support existing processes and implement change requirements as part of a structured change control process.
• Deliver training curriculum for client stakeholders (e.g. technology, process, train-the-trainer, online-solutions).
• Ensure communication within Deloitte's network of Intelligent Automation experts on typical process, methodology, tools and RPA principles.
• As a manager you will:Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. In addition, Managers should undertake practice development and business management activities to help grow the Analytics & Cognitive practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the Analytics & Cognitive team (BI, Big Data or Analytics), you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects and hone your commercial skills.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• Design and develop tailor-made solutions, strengthen our presence in the market, identify revenue-generating opportunities and get involved in proposal writing, pitch presentations, etc.
• Build global trusted relationships with key clients.
• Your role as a leader:Focused on coordinating the project, organizing people, time, resources and seeing the project through from inception to completion to meet business needs. Focus on managing the project while inspiring those who work around them to create their vision.
• Collaborate with business stakeholders, solution architects, and engineering teams to translate business needs into technical solutions.
• Manage risks, issues, and dependencies across the delivery lifecycle.
• Keeping the project team focused on the project and moving toward reaching its goal.
• Manage the staffing and responsibilities of team members to ensure deadlines are met.
• The primary goal of the project manager is to plan, manage & execute the project until its successful completion.
• Strong communication, leadership, and organizational skills.
• Manage the relationship with all stakeholders.
• IT Project Manager plans, organizes, and integrates cross-functional information technology projects that are significant in scope and impact [in line with transformation program -.
• Prepare and present progress updates and reports to senior stakeholders.
• Project ResponsibilitiesTake up the responsibility of managing the entire Project from IT perspective.
• Helping to define the project scope, goals and deliverables involving all relevant stakeholders and ensuring technical feasibility.
• Develop a detailed project plan to monitor, document, report and track progress to be shared with the team and all stakeholders.
• Delivering updates on the progress and possible obstacles facing a project.
• Managing and resolving issues as they arise and identifying potential risks and creating plans if they occur.
• Manage changes to the project scope, project schedule and project costs using appropriate verification techniques.
• Meet budgetary objectives and make adjustments to project constraints based on financial analysis.
• Leads projects by ensuring scheduling, delegating and monitoring project tasks, and reviewing project deliverables.
• Responsible for all project communication, including project status reporting and organizing project meetings and documents discussion and action items.
• Ensure all project documentation is comprehensive, complete, accurate, current and properly signed off.
• Ensure that Project Management s enterprise standards, guidelines and methodologies (i.e. Bank s SDLC) are in place and adhered to throughout the project.
• Plan & coordinate internal/external resources and third parties/vendors for the flawless execution of projects. Should there be any occurrence of resource constraint; ITPM shall work together with Tech Lead & respective Application Head to increase/adjust resources accordingly to ensure smooth project execution until the project completion.
• Measure and track project performance using appropriate tools and techniques, specifically to analyze the successful completion of short and long-term goals.
• Perform risk management to minimize project risk.
• Requirements: We are looking for professionals with a balance of technical ability, consulting mindset, and interpersonal skills:Proven experience in data processing and ETL development using Databricks.
• Proficiency in Microsoft Azure, tableau.
• Strong knowledge of DevOps principles, including CI/CD pipelines, automation, and any version control.
• Excellent analytical, problem-solving, and debugging abilities.
• Strong communication and collaboration skills.
• 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: 112414In 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.

Skills:

Sales, Salesforce, Java

Job type:

Full-time

• Design and develop salesforce solutions based on customer requirements.
• Implement User Stories in an agile approach for CRM Systems or Salesforce applications.
• Analyses technical requirements and translates them into implementable application designs and configurations. Evaluates possibilities with different technologies and platforms.
• Understand client business process and potential constraints (budget, timeline, expertise, etc.) to define optimal and reasonable project scope and expectations.
• Create and defend solution estimate and SOW.
• Coordinate with Solutions Architects on integration, and data consultants, and others, as needed, for specific technical design requirements.
• 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 Consultants across our Firm are expected to:Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively - leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.
• Requirements:6+ years CRM experience with a minimum of 3 years on the Salesforce core platform and Salesforce Marketing Cloud.
• At least 3 full life-cycle Salesforce implementation with strong expertise as well as certifications in the following modules: Sales Cloud, Service Cloud, Marketing Cloud, Community Cloud, Force.com, Apttus.
• Development and troubleshooting experience with Salesforce (Apex, Visualforce, Lightning, Java/C#/OOP, Javascript/JQuery, Angular, JS/Bootstrap, SQL/SOQL, Web Services) will be preferred.
• Strong understanding of Agile / Iterative delivery methodology.
• Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.).
• Understanding of systems architecture and ability to design scalable performance-driven solutions.
• Familiarity with platform authentication patterns (SAML, SSO, OAuth).
• Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies.
• Responsible for deliverable for project. Capacity plan for specific plan, managing the development team.
• Ensure utilization of staff is optimized by tracking individual team member forecast.
• Allocating resources and responsibilities across the team to deliver business results and develop team members.
• Responsible for supporting quality programs throughout the entire SDLC period.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit to our short-term and long-term project assignment.
• 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: 111960In 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.

Skills:

Legal, Budgeting, Procurement

Job type:

Full-time

• Lead and mentor officer in the data management team by fostering a culture of accountability, collaboration, and continuous learning.
• Lead the development and implementation of subsurface data policies, standards, and procedures to uphold data quality, security, confidentiality, and regulatory compliance. Provide advice to management team to define, standardize, and optimize workflows for data acquisition, storage, and utilization, ensuring alignment with industry best practices and legal requirements.
• Provide specialized support to asset teams on challenging data requests and software issues. Serve as a subject matter expert for key E&P applications (e.g., Petrel, DGS) and databases.
• Oversee the integration of diverse subsurface data sources - both digital and physical (e.g., seismic surveys, well logs, rock samples) - into corporate systems, ensuring compatibility and accessibility.
• Supervise the establishment and maintaining robust metadata frameworks, hierarchical structures, and indexing strategies to support organized data management and efficient retrieval.
• Monitor and control data access, enforce authorization protocols, and proactively mitigate risks related to data loss, corruption, or unauthorized use.
• Design and manage scalable databases and repositories, including legacy data migration and systematic archiving of historical datasets for long-term reference.
• Drive digital transformation in data management, leveraging automation technologies such as RPA and Al/ML to streamline data ingestion, validation, and reporting processes. Deliver intuitive data tools and visualization platforms that provide actionable insights and support strategic decision-making.
• Continuously evaluate and adopt advanced data management technologies to enhance operational efficiency, scalability, and alignment with evolving business needs.
• Benchmark practices against industry standards, identify opportunities for improvement, and cultivate a culture of continuous learning and innovation within the team.
• Collaborate cross-functionally with geoscientists, IT professionals, and other stakeholders to ensure database solutions meet operational and strategic objectives.
• Support planning and execution of data-related initiatives, including budgeting, procurement, and vendor management.
• Professional Knowledge & Experiences.
• Professional Knowledge.
• Strong foundation in Geographical Information System (GIS) and data management principles including data governance frameworks, quality control methodologies, and metadata standards.
• In-depth knowledge of subsurface data types and formats including well logs, seismic, and geological models.
• Proficient in Oracle and other modern databases (e.g., PostgreSQL, SQL Server, MongoDB, and cloud-native systems).
• Skilled in data modelling, performance tuning, and handling large E&P datasets.
• Knowledge of data security, backup/recovery.
• Familiar with geoscience application integration (e.g., Petrel, and Openwork).
• Experience with ETL tools, scripting (e.g., Python, Shell, and PL/SQL), and automation.
• Understanding of cloud/hybrid data environments and database migration.
• Experience.
• Over 10 years of experience in database administration, including significant work with subsurface data in the oil and gas industry.
• Proven track record in leading data policy and process development, aligning with corporate data governance.
• Experienced in overseeing complex data integration, validation, and archival projects involving structured and unstructured subsurface data.
• Skilled in designing and maintaining geospatial and subsurface data repositories, ensuring data quality and accessibility for technical users.
• Hands-on experience with automation technologies, including RPA, Al, and ML, to optimize data workflows and enhance operational efficiency.
• Strong background in data security, compliance, and risk mitigation, particularly in environments handling sensitive technical data.
• Successfully executed database migrations, upgrades, and modernization initiatives involving both on-prem and cloud platforms.
• Actively evaluates and adopts advanced database and data management tools, ensuring systems remain scalable and fit-for-purpose.
• Collaborate effectively with multi-disciplinary teams, including geoscientists, IT, and management, to support exploration and production operations.