เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

• 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 ingestion from a wide array of sources.
• 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:

Analytical Thinking, Product Development, Architecture, Recruitment, Javascript

ประเภทงาน:

งานประจำ

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Data Warehousing, Architecture, Assurance, English

ประเภทงาน:

งานประจำ

Who We Are Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise. What We Do Sertis provides both productized and bespoke AI and Data solutio ...

ทักษะ:

Big Data

ประเภทงาน:

ฝึกงาน

• Part of 10-12 Platform Engineers that are the crux for developing and maintaining Big Data (Data Lake, Data Warehouse and Data Integration) and advanced analytics platforms at SeaGate.
• Apply your hands-on subject matter expertise in the Architecture of and administration of Big Data platforms - Data Warehouse Appliances, Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML, H2O, KNIME).
• Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow and support building PRESTO/Trino queries for the key stakeholders.
• Design, scale and deploy Machine Learning pipelines.
• Collaborate with Application Architects and Business SMEs to design and develop end-to-end data pipelines and supporting infrastructure.
• Establish and maintain productive relationships with peer organizations, partners, and software vendors.
• Excellent coding skills in any language with deep desire to learn new skills and technologies.
• You're a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Big Data analytics with the complex and high-impact space of HiTech and Manufacturing analytics.
• As a motivated self-starter, you have the experience working in a dynamic environment.
• Exceptional data engineering skills in large, high-scale Data platforms and applications using cloud and big data technologies like Hadoop ecosystem and Spark.
• Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better.
• Excellent interpersonal skills to develop relationships with different teams and peers in the organization.
• Big data processing frameworks knowledge: Spark, Hadoop, Hive, Kafka, EMR.
• Big data solutions on cloud (AWS or Other).
• Advanced experience and hands-on architecture and administration experience on big data platforms.
• Data Warehouse Appliances, Hadoop (AWS EMR), Data Lake Technologies (AWS S3/GCS/Other) and experience with ML and Data Science platforms (Spark ML, H2O, KNIME ).
• Python, Java, Scala.
• DevOps, Continuous Delivery, and Agile development.
• Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers.
• Strong understanding of Micro-services and container-based development using Docker and Kubernetes ecosystem is a BIG plus.
• Experience working in a Software Product Development environment is a BIG plus.
• Located in the high technology district, our site in Wuxi is a global manufacturing hub, where nearly 5,000 employees deliver technical services, customer test, manufacturing, and support capabilities. On site you can grab breakfast, lunch, dinner and snacks at our canteen, grab-and-go market and coffee shop. We offer basketball, badminton, yoga clubs and group exercise classes. We also have music, dance, photography, and literature clubs galore, along with an active Toastmasters International chapter, and frequently have on-site festivals, celebrations and community volunteer opportunities.
• Location: Wuxi, China.
• Travel: None.

ทักษะ:

Architecture, MongoDB, Jenkins, Python, Kafka, MySQL, ETL, English

ประเภทงาน:

งานประจำ

• Databricks on AWS (Unity Catalog, Delta) across Thailand and Indonesia, prod and non-prod workspaces.
• our Python/PySpark (Spark Connect) batch framework pulling from operational databases (Postgres, MySQL, MSSQL, DB2, MongoDB) into Delta - and pushing back out: hash-diff incremental reverse-ETL from the lakehouse into operational Postgres serving live systems, plus Kafka (Avro/Confluent) streams.
• layered medallion architecture for Thailand and Indonesia, tested and CI-gated.
• Data Governance.
• End to End data governance across Thailand and Indonesia.
• Terraform/Terragrunt for infrastructure, Databricks Asset Bundles for jobs and schedules, Jenkins for CI/CD. If it isn't in git, it doesn't exist.
• Design, build, and operate batch and incremental pipelines end-to-end - from source system to the table an underwriter's dashboard reads.
• Extend frameworks rather than write one-offs: when you solve a problem, the next ten sources get the solution for free.
• Own data quality and reliability: tests, monitoring, SLAs, and the root-cause analysis when something breaks at 7am.
• Model insurance data (policies, claims, members, payments) so analysts and data scientists can trust and reuse it.
• Partner directly with data scientists, analysts, and business stakeholders across four business entities and two countries.
• Review more code than you write - including code written by AI. We work AI-assisted by default.
• Mentor other engineers and raise the team's bar for design and operational discipline.
• 5+ years building production data systems, with at least one system you owned end-to-end (design build operate evolve).
• Expert SQL and solid data modeling - dimensional and lakehouse/medallion patterns, and the judgement to know when each applies.
• Strong Python engineering: typed, tested, reviewable code - not just notebooks.
• Production experience with Spark and a lakehouse platform (Databricks strongly preferred) or equivalent scale elsewhere.
• Real understanding of incremental processing: CDC, merge/upsert semantics, idempotency, late-arriving data, backfills.
• Operational depth: you've debugged pipelines under pressure and can tell the story of a root cause you found.
• Fluency with AI coding tools.
• and.
• a track record of catching their mistakes. We don't screen AI out of our hiring process - we screen for people who use it well.
• Clear written and spoken English - it's our working language, and much of our design work happens in documents and PRs.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Big Data, Power BI, Python, Oracle, Hadoop, Apache, SQL, ETL

ประเภทงาน:

งานประจำ

• Design, develop, and maintain robust data pipelines using Apache Airflow, SSIS, PySpark, and Talend to ingest, transform, and load large-scale datasets (300M+ rows) from multiple sources.
• Manage and optimize relational databases including Oracle and SQL Server, ensuring high performance and scalability for analytical workloads.
• Design, build, and maintain cloud data platforms and warehousing solutions using AWS services such as Redshift and S3, alongside ClickHouse for high-performance analyti ...
• Develop and maintain OLAP solutions using SSAS for advanced reporting and analytics, including cube design, partitioning, and aggregation strategies.
• Implement ETL processes for structured and semi-structured data using tools such as Talend and PySpark, ensuring data quality, consistency, and compliance with industry standards.
• Collaborate with BI team, Actuarial Team and business stakeholders to understand requirements and deliver efficient data models and solutions.
• Monitor and improve data pipeline performance, troubleshoot bottlenecks, and implement best practices for parallel processing and resource optimization.
• Ensure data security and compliance with insurance industry regulations and company policies.
• Leverage big data technologies such as Apache Spark for distributed processing and advanced data transformations.
• Automate workflows and scheduling using Airflow DAGs, ensuring reliability and scalability of data operations.
• Document data architecture, processes, and standards, and provide technical guidance to team members.
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
• 3+ years of experience building and maintaining data pipelines.
• Proficiency in SQL and experience with relational databases (Oracle, SQL Server) including performance tuning and query optimization.
• Hands-on experience with ETL tools such as SSIS, Talend, and PySpark, and data modeling for OLAP solutions using SSAS.
• Knowledge of data pipeline orchestration using Apache Airflow.
• Experience with big data processing frameworks such as Apache Spark for distributed data transformations.
• Hands-on experience with cloud database/data platform services such as AWS Redshift, S3, and ClickHouse.
• Solid understanding of data warehousing concepts, star/snowflake schema, and partitioning strategies for large datasets (300M+ rows).
• Familiarity with insurance industry data or other regulated environments (preferred).
• Proficiency in Python or another scripting language for automation and data manipulation.
• Knowledge of data quality, governance, and security best practices.
• Ability to work with large-scale data and optimize workflows for performance and scalability.
• Preferred Qualifications.
• Experience with Power BI and building efficient data marts.
• Experience with data privacy, governance, and secure data access practices.
• Hands-on with cloud platforms or tools such as AWS (Redshift, S3), ClickHouse, Azure, Databricks, Delta Lake, Snowflake, or Hadoop ecosystem.
• Able to troubleshoot performance issues in both backend pipelines and frontend analytics tools.
• Comfortable working in a fast-paced, high-ownership environment with cross-functional teams.

ทักษะ:

Project Management, Architecture, Power BI, Cloud Computing, 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.

ทักษะ:

Flowaccount, SQL, Amazon AWS

ประเภทงาน:

งานประจำ

• Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
• Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
• Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
• Consume and reason about domain events (e.g. JournalEntryCreated-style events) - not just batch table dumps.
• Participate in on-call rotation for pipeline/data incidents.
• Mid (3 - 5 years).
• Implement pipelines and dbt models to a given design spec.
• Maintain and extend existing Redshift schemas.
• Handle defined CDC jobs and respond to data-quality alerts.
• Senior (6+ years) - in addition to the above.
• Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
• Define data contracts with backend/DDD service owners - event schema versioning, breaking-change policy, deprecation process.
• Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
• Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
• New-Data Intake (how this role interacts with Analytics Engineering).
• Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
• Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation - coordinate with the owning backend team if instrumentation is needed.
• Build/extend the ingestion pipeline and warehouse schema to land the new data.
• Hand off to Analytics Engineering once the data is queryable.
• You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
• Strong SQL (Redshift or another columnar/MPP warehouse).
• Python or Spark for pipeline/transformation work.
• Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
• Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
• Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
• (Senior) Track record owning data-model design and cross-team data contracts.
• Preferred.
• Experience with CDC tools (DMS, Debezium).
• Experience handling PII/financial data under a compliance regime (PDPA or equivalent) - including tenant/row-level isolation in a multi-tenant warehouse.
• Prior experience in a DDD/microservices backend environment.
• What We Offer.
• Build products used by tens of thousands of businesses.
• Ship code that reaches customers quickly.
• High ownership with minimal bureaucracy.
• Learn from experienced engineers and product leaders.
• Flexible work hours and 45 days/year work from anywhere.
• Competitive compensation, health & accident insurance from day one.
• 17 - 19 public holidays, 12 personal leave days, and 8 annual leave days.
• A friendly, collaborative team that genuinely enjoys building together.
• Clear opportunities to grow your career as the company scales.
• BKK BangRak Office (MRT Samyan or BTS Saladaeng).
• Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, Cloud Computing

ประเภทงาน:

งานประจำ

• Working in project teams to perform key steps in the data analysis process, specifically data management process.
• Support build of big data environments that enable analytics solutions on a variety of big data platforms including cloud as required by the client, and create robust documentation of solutions, architecture, automation workflows, and operation procedures.
• Demonstrated ETL solution design and build expertise, work stream management skills, ...
• Using data analytics tools and techniques to identify patterns, extract outliers, and perform analyses to address client problems.
• Contribute to written deliverables and reporting of outcomes to clients.
• Optimizing existing processes and leverage AI-enabled tools and automation to improve efficiency, quality, and data integrity through appropriate validation and professional judgement.
• Working in project teams to develop data analytics solutions and data-driven technology assets for Audit engagement team and external clients.
• Developing, testing, and validating data solutions features, following development best practices and architecture guidelines.
• Developing competence in a broad range of technologies and frameworks for managing all aspects of the data lifecycle.
• Undertaking technical training to acquire and demonstrate expertise in data analysis and design and build of solutions.
• Keeping abreast of developments across the data and analytics landscape, with the desire to translate cutting-edge techniques and technologies into our project outputs.
• Role Expectations.
• Senior.
• Overseeing an engagement/project - ensure quality of the deliverables and assist less experienced colleague.
• Understanding business knowledge process including Sales, Purchase, Inventory and Accounting.
• Contribute to engagement planning, executing and delivery.
• Build and maintain professional relationships both internally and externally.
• Associate.
• Utilizing obtained skillset to complete the assigned task/assignment in an efficient and effective manner.
• Self-motivated and seeking to gain new knowledge of the business.
• Bachelor's degree from an accredited university or foreign equivalent in engineering, computer science or other quantitative disciplines like statistics, math, or others plus relevant programming experience.
• This role will utilize the candidate's data management and advanced analytics skills. A core competency of technical skills and the ability to quickly develop expertise is essential.
• Database skills - designing and querying relational databases such as Oracle DB, Microsoft SQL Server, etc. Experience in Database Administration is a plus.
• Data manipulation skills - manipulating and cleansing data on a large scale with consideration in fulfilling standards and objectives. This includes ETL and SQL development. Experience in data mart or data warehouse is a plus.
• Programming skills - one or more programming language, e.g. R, Python, C#, Java, VBA.
• Web application skills - familiarity with frameworks such as Django, Flask, FastAPI, React, or similar. Knowledge of APIs, authentication, and web application development fundamentals is a plus.
• Communication skills - Written and verbal skills, and the ability to explain technical analysis to a non-technical audience is essential.
• A desire to understand business problems and to evaluate the results in a business context.
• High degree of personal motivation, ability to self-manage whilst being professional and personable.
• Experience of solving issues and dealing with the uncertainty that can arise in project situations, including having a problem solving and can-do attitude.
• Proficiency in spoken and written Thai and English.
• Involved professionally in Data Analytic procedure.
• Experienced with well-known ERP system such as SAP, Oracle ERP, Microsoft Dynamics.
• We offer the successful candidate an attractive remuneration package and the opportunity to work in a dynamic and exciting environment.
• KPMG Phoomchai Audit Ltd.

ประสบการณ์:

10 ปีขึ้นไป

ทักษะ:

Recruitment

ประเภทงาน:

งานประจำ

• As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
• To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyo ...
• If you believe in developing a better tomorrow, read on.
• About the Role.
• Responsible for capturing data from various sources into the system for data analytics.
• Apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
• Create data collection frameworks for structured and unstructured data.
• Develop and maintain infrastructure systems such as data warehouses, data lakes and data access application programming interfaces (APIs).
• Define data standards, develop data 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Problem Solving, Architecture, Accounting, Power BI, YouTube, Python, Java, SQL, English, Thai

ประเภทงาน:

งานประจำ

• 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.
• 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 on.
• LinkedIn.
• 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.
• Functional Skills.
• Applied Software Engineering for Data.
• Data Architecture & Strategy.
• Data Integration.
• Data Management.
• Data Visualization.
• Data Modeling.
• Machine Learning.
• 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.

ทักษะ:

Architecture, Python, Apache, Kafka, SQL, ETL

ประเภทงาน:

งานประจำ

• Data Engineer is responsible for handling the design and construction of scalable data management system including data storage, data piping, ETL and interfacing with analytics platforms. The jobholder needs to manage all data aspects related to public cloud solution, data lake, data warehouse, reporting, etc. The job holder is also required to participate in gathering data requirements, modelling, and testing as well as define flow of data in a project from input through to storage including interfaces with analytics tools or end user software.
• Key Accountabilities.
• 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:

Business Development, Project Management, Data Analysis, SAP, ETL, English, Thai

ประเภทงาน:

งานประจำ

• ABeam Consulting (Thailand) Ltd. is a subsidiary of ABeam Consulting Ltd. headquartered in Tokyo, we have 6,600 Consultants in territories across the world, serve more than 200 clients and cover various industries, strong in Automotive, Consumer Packaged Goods, Food & Beverage, and Leasing, offering End-to-End Service to support our clients to realize their Business Transformation.
• We are Number One SAP Partner in Asia and one of the largest Consulting firms in Thailand.
• About Our Data Management & Analytics Team.
• Our Data Management & Analytics Business Unit offers a one-stop data management service to transform businesses through effective data utilization. Data management roadmaps are used to analyze the current situation of our clients based on industry trends, based on which we evaluate the level of data maturity and then create a road map for data utilization, system re-structuring and organizational reform if necessary.
• Based on more than 100 data analysis cases, we also support advanced data analytics, including topics like the selection and launch of AI services, training programs and other organization setups that clients would prefer to execute in-house.
• Finally, we offer support for full data management platform constructions by combining dashboards, analysis tools, ETL tools, DWH, and others, to supply you with the optimal platform for each individual situation.
• As part of Data Management & Analytics team, you will engage in consulting business with area of: Database and ETL development, BI dashboards development, Project Management, Data Governance, and General IT Skills.
• Lead data related initiatives including business strategy development, proposal development and end-to-end Project delivery planning.
• Manage multiple project teams, define and schedule project tasks / sub-tasks, and ensure their timely completion within the planned timeline and budget.
• Track and report project progress in an effective way and recommend the next course of actions to management team and decision makers across various functional groups.
• Have general understanding of IT tools used for documentation, analysis and presenting results in Corporate environment.
• Have at least 3 10 years of general Project/Program management experience.
• Have experience in database related projects, including data warehousing & business intelligence.
• Having agile project management methodologies experience will be an advantage.
• Have pro-active business development mindset with up to date understanding of latest trends, technologies and consumer needs.
• Have strong networking and clients relationship building skills.
• Experience in business development or develop solutions to clients.
• Good logical thinking.
• Strong communication skills (verbal and written), including the ability to effectively communicate with both technical and non-technical teams.
• Good in English and Thai communication.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Power BI, Docker, SQL, ETL, English

ประเภทงาน:

งานประจำ

• Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
• Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
• Database Management: They manage databases and data warehouses, ensuring efficient d ...
• Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency.
• across the organization. This may involve designing APIs, implementing data synchronization processes.
• Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.).
• Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
• Experience in data engineering, ETL/ELT development, and data pipeline design.
• Strong SQL skills with knowledge of database management and query optimization.
• Hands-on experience with GCP and/or Azure data services.
• Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for.
• the.
• successful delivery of business.
• intelligence information to the entire organization and is experienced in BI.
• development and implementations.
• Design stable, reliable and effective data.
• architecture and data mart.
• Understanding of BI best practices and be able.
• to create relational structures, dimensional data modeling, structured query.
• language (SQL) skill, data warehouse and reporting techniques, performing ETLs.
• and validating results with business representatives.
• monitoring and tuning queries and data loads, addressing user questions.
• concerning data integrity, monitoring performance and communicating functional.
• and technical issues.
• Bachelor or Master Degree in Computer.
• Engineering, Computer Science, Technology information systems, or any other IT.
• related field.
• At least 3 years of experiences in data.
• warehousing development and architecture hands-on physical/logical database and.
• data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of.
• writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and.
• teamwork.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Accounting, Automation, YouTube, ETL, English, Thai

ประเภทงาน:

งานประจำ

• 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.
• 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 on.
• LinkedIn.
• 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.
• Functional Skills.
• Hosting Compute Design Engineering & Implementation.
• Infrastructure & Platform Programming & Automation.
• Infrastructure - Operating Systems.
• 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.

ทักษะ:

Flowaccount, SQL, Amazon AWS

ประเภทงาน:

งานประจำ

• Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
• Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
• Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
• Consume and reason about domain events (e.g. JournalEntryCreated-style events) - not just batch table dumps.
• Participate in on-call rotation for pipeline/data incidents.
• Mid (3 - 5 years).
• Implement pipelines and dbt models to a given design spec.
• Maintain and extend existing Redshift schemas.
• Handle defined CDC jobs and respond to data-quality alerts.
• Senior (6+ years) - in addition to the above.
• Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
• Define data contracts with backend/DDD service owners - event schema versioning, breaking-change policy, deprecation process.
• Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
• Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
• New-Data Intake (how this role interacts with Analytics Engineering).
• Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
• Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation - coordinate with the owning backend team if instrumentation is needed.
• Build/extend the ingestion pipeline and warehouse schema to land the new data.
• Hand off to Analytics Engineering once the data is queryable.
• You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
• Strong SQL (Redshift or another columnar/MPP warehouse).
• Python or Spark for pipeline/transformation work.
• Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
• Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
• Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
• (Senior) Track record owning data-model design and cross-team data contracts.
• Preferred.
• Experience with CDC tools (DMS, Debezium).
• Experience handling PII/financial data under a compliance regime (PDPA or equivalent) - including tenant/row-level isolation in a multi-tenant warehouse.
• Prior experience in a DDD/microservices backend environment.
• What We Offer.
• Build products used by tens of thousands of businesses.
• Ship code that reaches customers quickly.
• High ownership with minimal bureaucracy.
• Learn from experienced engineers and product leaders.
• Flexible work hours and 45 days/year work from anywhere.
• Competitive compensation, health & accident insurance from day one.
• 17 - 19 public holidays, 12 personal leave days, and 8 annual leave days.
• A friendly, collaborative team that genuinely enjoys building together.
• Clear opportunities to grow your career as the company scales.
• BKK BangRak Office (MRT Samyan or BTS Saladaeng).
• Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in BI development and implementations.
• Design stable, reliable and effective data architecture and data mart.
• Understand of BI best practices and be able to create relational structures, dimensional data modeling, structured query language (SQL) skill, data warehouse and reporting techniques, performing ETLs and validating results with business representatives ...
• Support implemented BI solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
• Bachelor or Master Degree in Computer Engineering, Computer Science, Technology information systems, or any other IT related field.
• E.
• xperiences in data warehousing development and architecture hands-on physical/logical database and data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and teamwork.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

MongoDB, Python, Hadoop, Apache, MySQL, Thai

ประเภทงาน:

งานประจำ

• About LINE MAN Wongnai.
• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company.
• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Knowledge and experience with data quality frameworks (e.g., Great Expectations).
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL).
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering.
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning.
• Proven hands-on experience with Hadoop and familiarity with open table formats.
• Experience with Polars and DuckDB (Preferable).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, DevOps, Python, English

ประเภทงาน:

งานประจำ

• Participate in designing and implementing as well as maintaining data pipelines for digesting data from various marketplaces into Data Platform.
• Demonstrate continuous improvement by inspecting and adopting new ideas for improving solutions, tools and processes.
• Work closely with members of IT (e.g. Architecture, DevOps and Business Analysts) to ensure the highest quality softwareCoach fellow associate data engineers.
• Capabilities.
• Bachelor Degree from Computer Engineering, Computer Science or related fields.
• Good knowledge of SQL, relational database design and efficient methods for working with large size of data.
• Good knowledge of Python.
• Understanding of fundamental design principles behind data-oriented application.
• Ability to understand business requirements and be able to express them in computer language.
• Ability to communicate in English, both written and oral form.