เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, Risk Management, Accounting, English

ประเภทงาน:

งานประจำ

• 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.
• 7+ 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).

ทักษะ:

ETL, SQL

ประเภทงาน:

งานประจำ

• 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..

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

ETL, Power BI, SQL

ประเภทงาน:

งานประจำ

• 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.

ประเภทงาน:

งานประจำ

• Transform validated business analysis outputs into interactive Power BI dashboards delivering actionable insights.
• Enable data-driven decision-making across sales and strategic initiatives.
• Bridge the gap between analytical results and stakeholder-ready visual reporting.
• Design, develop, and maintain data pipelines within the Azure environment.
• Work with Azure Data Factory and Databricks to support data integration and processing.
• Perform advanced SQL development and data modeling to ensure structured and reliable datasets.
• Develop and maintain ETL/ELT processes to guarantee data quality, consistency, and performance.
• Collaborate with business and technical stakeholders to translate requirements into robust data architecture and reporting solutions.
• ABOUT YOU
• Experience as a Data Engineer (analytics-focused) with exposure to BI environments.
• Strong expertise in Power BI dashboard development and data visualization best practices.
• Hands-on experience in Azure environment, including Data Factory and Databricks.
• Solid knowledge of SQL, data modeling, and data warehousing principles.
• Experience with ETL/ELT processes and data transformation pipelines.
• Junior to mid-level experience (aligned with Amaris Data Engineer level).
• Strong analytical and problem-solving skills with attention to data quality.
• Professional proficiency in English (mandatory).
• Ability to work in a hybrid setup in Bangkok.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, SQL, Analytical Thinking

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, ETL, SQL

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Java

ประเภทงาน:

งานประจำ

• 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).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, ERP, JSON

ประเภทงาน:

งานประจำ

• Define overall integration architecture for GRC platform.
• Design system-to-system integration (API, file-based, middleware, ETL).
• Ensure alignment with enterprise architecture and data governance standards.
• Conduct impact assessment for new integration requirements.
• Technical Implementation & OversightLead end-to-end integration development lifecycle (design, build, test, deploy).
• Coordinate with IT, vendors, and infrastructure teams.
• Oversee API configuration, data mapping, transformation logic, and scheduling.
• Ensure proper documentation of integration design and configuration.
• Data Governance & QualityDefine data mapping rules and validation controls.
• Ensure data integrity, completeness, and reconciliation across systems.
• Support master data governance and synchronization processes.
• Security & ComplianceEnsure integrations comply with cybersecurity and data privacy requirements.
• Implement access control and secure transmission protocols.
• Support audit trail, logging, and monitoring requirements.
• Testing & DeploymentDevelop integration test strategy and scenarios (SIT/UAT).
• Support defect resolution and performance tuning.
• Coordinate release management and migration planning.
• Stakeholder ManagementAct as primary contact for integration matters across business and IT.
• Provide technical advisory during workshops and governance discussions.
• Support CAB approval and change management processes.
• EducationBachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field.
• ExperienceMinimum 5-8 years of experience in system integration or enterprise application architecture.
• Hands-on experience with RSA Archer GRC platform (preferred).
• ITSM (e.g., ServiceNow, JIRA).
• SIEM/Security tools (e.g., Sentinel).
• ERP systems.
• HR systems.
• Experience in financial services or regulated industries is an advantage.
• Technical SkillsStrong understanding of API integration (REST/SOAP), JSON/XML.
• Experience with middleware, ETL tools, or data integration platforms.
• Knowledge of database concepts (SQL, data modeling).
• Understanding of authentication mechanisms (SSO, OAuth, LDAP).
• Familiarity with cybersecurity and data protection principles.
• Soft SkillsStrong analytical and problem-solving skills.
• Ability to translate business requirements into technical solutions.
• Strong stakeholder management and communication skills.
• Ability to manage multiple integrations across parallel workstreams.
• Experience working in structured project governance environment.
• Industry Focus: FSI Exposure to banking, asset management, digital asset, insurance, and financial services risk and compliance processes. Understanding of significant risk and compliance domain for specific industry.
• Due to volume of applications, we regret 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: 113170In 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.

ทักษะ:

SQL, ETL, Project Management, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, DevOps, Automation, English

ประเภทงาน:

งานประจำ

• Design, implement, and optimize end-to-end data platforms on Azure and Databricks, covering storage, compute, security, and governance.
• Design and manage curated data layers and analytical datasets to support reporting, self-service BI, and advanced analytics use cases.
• Build, maintain, and monitor scalable batch and streaming ETL/ELT pipelines using Databricks, Spark, and Azure services such as ADF and Synapse.
• Develop reusable, version-controlled Databricks notebooks and workflows, implementing robust data transformation, cleansing, and validation logic.
• Establish and enforce data quality, lineage, security, and governance practices across the Databricks platform, ensuring compliance with regulatory requirements.
• Collaborate with cross-functional teams (architects, data engineers, BI developers, data scientists, and business stakeholders) to align solutions with business objectives and drive continuous improvement.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Undegrading of DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• Excellent stakeholder and pre-sales skills: translating requirements into architectures and leading solution design.
• Requirements:Minimum 10-12 years of experience.
• Possess 8+ years in solution, architecting, design and development experience in enterprise/ architecture projects in Azure / Databricks.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• 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.
• 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.
• Strong Azure cloud and data services design (ADLS, networking, security, Synapse, Key Vault).
• Deep Databricks lakehouse expertise (Delta Lake, Unity Catalog, Spark performance tuning).
• Advanced data engineering with Spark and Azure-native orchestration (ADF/Synapse pipelines).
• E2E integration experience (Hybrid cloud model).
• Robust data governance, security, and compliance design, especially for regulated industries.
• Continued learning certifications, at least one of the following: Microsoft Azure Solutions or Databricks.
• 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: 112452In 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.

ทักษะ:

Python, Tableau, ETL

ประเภทงาน:

งานประจำ

• Design and develop cutting-edge AI and machine learning solutions using tools like R, Python, and Tableau.
• Create and implement business intelligence solutions utilizing ETL tools such as Alteryx, SSIS, and Informatica.
• Partner with cross-functional teams to analyze industry trends and develop data-driven business strategies.
• Transform complex data sets into meaningful insights that enhance business processes and decision-making.
• Monitor and analyze market trends, competitor strategies, and customer patterns to drive business growth.
• Strong foundation in data analysis and business intelligence concepts.
• Proficiency in programming languages (R, Python) and BI tools (Tableau).
• Experience with ETL tools and data transformation processes.
• Excellent analytical and problem-solving capabilities.
• Strong communication skills to collaborate with diverse business partners.
• Opportunity to work on innovative global supply chain digitization projects.
• Exposure to cutting-edge AI and machine learning technologies.
• Collaborative environment fostering professional growth and learning.
• Chance to make meaningful impact through data-driven solutions.
• Work with diverse teams across multiple business functions.
• Let us learn about you! Apply today.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 36 billion global revenue
• 13% organic growth
• 150 000+ employees in 100+ countries
• 1 on the Global 100 World s most sustainable corporations.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

SAP, Finance, ETL, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

SAP, Finance, ETL, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Salesforce, ERP, Web Services

ประเภทงาน:

งานประจำ

• Demonstrated ability to rapidly learn new technologies and Salesforce Clouds, and quickly ramp up to lead implementation and advisory engagements with confidence.
• Ensure scalable and standard methodology solutions to meet and exceed customer needs.
• Guide the evaluation of business and technical requirements.
• Build relationships with key collaborators and team members.
• Act as lead architect for the overall engagement by coordinating and aligning work of multiple architects on the team.
• Align with project and engagement managers to support planning and implementation in close collaboration with the customer.
• Review and guide project vision and direction, implementation approach and key artefacts.
• Direct early solution evaluation, including proactive management of issues and effective engagement with executives, the account team, engineering, and product management.
• Where required, hands-on application configuration to meet customer needs.
• Direct and mentor diverse teams, such as customers, partners, and colleagues in technical delivery aspects, as well as non-technical topics such as communication strategies or executive influence.
• Fuel our internal growth by identifying, leading or contributing to internal pivotal initiatives, such as innovations, building up a strategic brand, and nurture teammates' skills by sharing knowledge.
• Where required, support pre-sales activities to position Salesforce Services.
• Contribute to broader goals by becoming a citizen philanthropist and give back to our communities by joining or leading volunteering activities.
• Hands-on technical consulting and solution implementation experience for a major software domain (e.g. CRM, ERP, HR) as well as coding experience in object oriented languages.
• Ability to analyze, design, and optimize business processes via technology and integration.
• Experience in guiding customers and project members in rationalising and deploying emerging technology for business use cases.
• Work independently and as part of a distributed team and a willingness to take ownership of problems.
• Rapidly learn new technologies as well as strong presentation, communication and facilitation skills.
• Available to travel regionally depending on customer needs.
• Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)..
• PREFERRED QUALIFICATIONS.
• A detailed understanding of Web Services, Data Modeling, and Enterprise application integration concepts, including experience with enterprise integration tools (ESBs and/or ETL tools), and common integration design patterns with enterprise systems (e.g. CMS, ERP, HRIS, DWH/DM).
• Ability to build and maintain key relationships with C-level / mid level and key decision makers.
• Experience as a Senior Architect and/or CTO in a mid to large sized organisation with leadership driving an organisational transformation in a matrixed organisation.
• Experience of defining and delivering enterprise applications on the Salesforce Platform including coded solutions.
• 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.

ทักษะ:

Salesforce, Java, SQL

ประเภทงาน:

งานประจำ

• 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.
• Your role as a leader
• At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior 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: 112898In 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.

ทักษะ:

Salesforce, Compliance, Data Warehousing, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ทักษะ:

Legal, Budgeting, Procurement

ประเภทงาน:

งานประจำ

• 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.