เงื่อนไขการค้นหา

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

We are looking for AI Data Specialists to support the improvement of AI-generated content in Thai. Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Rate: 8 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different) Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today's AI models? What You'll D ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Product Development, Accounting, Telesales

ประเภทงาน:

งานประจำ

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• Frontline Sales (Telesales).
• Customer Service.
• Product Development.
• Data Science / Digital Analytic.
• Network Engineering.
• Information Technology.
• Corporate Support.
• Human Resources.
• Finance / Accounting.
• Other.
• Search Jobs.
• Home Page.
• About Us.
• View All Jobs.
• Job Functions.
• Marketing.
• Media, Creative & Design.
• Sales / AE.
• Frontline Sales (Telesales).
• Customer Service.
• Product Development.
• Data Science / Digital Analytic.
• Network Engineering.
• Information Technology.
• Corporate Support.
• Human Resources.
• Finance / Accounting.
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• Candidate Login/Profile.
• Employee Login.
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• Apply now.
• Specialist, Data Platform.
• 09/06/2026.
• The Data Governance Specialist is responsible for developing, implementing, and maintaining data governance frameworks, policies, and standards to ensure the quality, integrity, security, and compliance of enterprise data assets. This role collaborates with cross-functional teams to drive data stewardship, improve data quality, and promote a culture of data accountability across the organization. The specialist will play a key role in supporting business objectives by enabling trusted and well-governed data for analytics, reporting, and regulatory compliance.
• Job Responsibilities*.
• Develop and maintain data governance frameworks, policies, and standards. Lead the creation and periodic review of data governance documentation, ensuring alignment with business and regulatory requirements.
• Drive data quality improvement initiatives. Define and implement data quality metrics, monitoring processes, and remediation plans in collaboration with data owners and stewards.
• Establish and manage data stewardship programs. Facilitate the identification and training of data stewards, and support them in their roles to ensure data accountability and ownership.
• Collaborate with IT, business, and compliance teams to ensure data governance policies are embedded in data lifecycle management, including data classification, metadata management, and data lineage.
• Support regulatory compliance (e.g., PDPA, GDPR) by ensuring data handling practices meet legal and internal standards. Coordinate audits and provide documentation as required.
• Promote data governance awareness and best practices. Conduct training sessions, workshops, and communications to foster a culture of data responsibility.
• Monitor and report on data governance KPIs and the effectiveness of data governance initiatives to management and stakeholders.
• Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or a related field.
• Strong understanding of data governance principles, data management frameworks (e.g., DAMA-DMBOK), and data quality management.
• 5-8 years of experience in data governance, data management, or related fields.
• Experience developing and implementing data governance frameworks, policies, and standards.
• Hands-on experience with data quality tools, metadata management, and data catalog solutions.
• Familiarity with regulatory requirements (e.g., PDPA, GDPR) and compliance processes.
• Data governance or data management certifications (e.g., CDMP, DGSP) are a plus.
• Apply now.
• TRUE CORPORATION.
• PRIVACY POLICY.
• True Corporation Public Company Limited. All rights reserved.

ทักษะ:

Recruitment

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• Key Responsibilities (หน้าที่ความรับผิดชอบหลัก).
• รวบรวม จัดการ ตรวจสอบคุณภาพข้อมูลจากหลายแหล่งภายในและภายนอกองค์กร.
• วิเคราะห์ข้อมูลเชิงสถิติและเชิงธุรกิจ เพื่อค้นหาข้อมูลเชิงลึก แนวโน้ม และปัจจัยที่มีผลต่อผลลัพธ์ทางธุรกิจ.
• จัดทำรายงาน การนำเสนอข้อมูล และพัฒนา Dashboard ด้วยเครื่องมือ Business Intelligence เช่น Power BI, Tableau หรือ Looker Studio.
• สรุปผลการวิเคราะห์ พร้อมเสนอข้อมูลเชิงลึกเพื่อสนับสนุนการตัดสินใจของผู้บริหารและทีมงานที่เกี่ยวข้อง.
• ทำงานร่วมกับทีม Data Engineer, IT และหน่วยงานอื่นเพื่อเพิ่มประสิทธิภาพการจัดเก็บและประมวลผลข้อมูล.
• พัฒนาหรือปรับปรุงมาตรฐานข้อมูล กระบวนการทำงาน รวมถึงการตรวจสอบความถูกต้องอย่างสม่ำเสมอ.
• ติดตาม ตรวจพบ และรายงานความผิดปกติของข้อมูล เพื่อให้สามารถแก้ไขได้อย่างรวดเร็ว.
• เขียน Query (เช่น SQL) หรือสคริปต์เบื้องต้นสำหรับดึง วิเคราะห์ และประมวลผลข้อมูล.
• Educations Background(การศึกษา).
• ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์อย่างน้อย 5 ปีในด้าน Data Analytics หรือ Data Science.
• ใช้งาน SQL ในระดับปฏิบัติงานได้ดี.
• ใช้ Excel หรือ Google Sheets ในระดับสูง.
• มีความรู้พื้นฐานด้านสถิติและการวิเคราะห์ข้อมูล.
• สามารถจัดทำรายงานและ Visualization ได้อย่างแม่นยำและนำเสนออย่างชัดเจนรักการเรียนรู้ เปิดใจต่อความท้าทาย ติดตามข่าวสารที่เกี่ยวข้องกับสายงาน.

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:

Business Development, Data Analysis

ประเภทงาน:

งานประจำ

• Analyze and deliver accurate, relevant, timely, and actionable insights to management and/or relevant stakeholders to identify approaches, trends, patterns, and opportunities that support and drive the organization's business growth effectively.
• Prepare reports and recommendations based on data analysis results.
• Ensure that data used for reporting and analysis is accurate, consistent, and reliable, and implement appropriate data quality control measures.
• Identify opportunities to automate reporting processes, improve data collection, and develop analytical tools to enhance efficiency and effectiveness.
• Execute project plans and timelines carefully and clearly to ensure the timely delivery of high-quality data solutions that align with organizational objectives.
• Work closely with departmental members within and across-departments to effectively deliver data solutions and help drive the achievement of both departmental and cross-departmental goals.
• Act as a Data Analytics and Research consultant to internal departments within the organization.
• Able to apply AI knowledge and skills to assist in data analysis.
• Perform other tasks as assigned by the leader.

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:

Amazon AWS

ประเภทงาน:

งานประจำ

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, su ...

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:

Amazon AWS

ประเภทงาน:

งานประจำ

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, su ...

ทักษะ:

Architecture, Recruitment, Big Data, Python, NoSQL, Thai

ประเภทงาน:

งานประจำ

• Due to the nature of the projects.
• this role requires the successful candidate to be a Thai Citizen.
• Job responsibilities.
• You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
• You will collaborate with data scientists to design scalable implementations of their models.
• You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
• You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
• You will be responsible for data governance, data security and data privacy to support business and compliance requirements.
• You will define the strategy for and incorporate data quality into your day-to-day work.
• Job qualifications.
• Technical Skills.
• You have experience in leading the system design and implementation of technical solutions.
• Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.
• You have a deep understanding of data modeling and experience with modern data engineering tools and platforms.
• You have hands-on experience with.
• Python.
• (must have), Spark, and big data processing.
• You have experience with at least one.
• Cloud platform.
• (AWS, Azure, or GCP). And,.
• Databricks experience.
• is preferred.
• You have experience in writing clean, high-quality code using the preferred programming language.
• You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
• You have experience with data visualization techniques and can communicate the insights as per the audience.
• You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
• You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
• Professional Skills.
• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
• Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
• Other things to know.
• Learning & Development.
• There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
• Responsible Use of AI in Recruitment.
• At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
• Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
• We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full.
• Thoughtworks AI Policy for Recruitment.
• About Thoughtworks.
• Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we're pushing boundaries through our purposeful and impactful work. For 30+ years, we've delivered extraordinary impact together with our clients by helping them solve complex.

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:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, Assurance, Power BI, Tableau, SQL, Thai

ประเภทงาน:

งานประจำ

• Thai Citizen only*.
• Design and develop.
• dashboards and reports using tools such as.
• Power BI, Tableau, or similar.
• Translate business requirements.
• into.
• scalable reporting.
• and analytics solutions.
• Analyze complex datasets.
• to identify trends, risks, and business opportunities.
• Deliver insights and recommendations to support product, operational, and strategic decisions.
• Build and maintain data models, semantic layers, and reporting structures.
• Partner with Data Engineers to ensure data quality and reliable reporting.
• Present findings to both technical and business stakeholders.
• Support and mentor junior analysts where needed.
• 3-5 years of hands-on experience in data analysis, business intelligence, or analytics.
• Strong hands-on experience with Power BI,.
• Tableau, or similar.
• Advanced SQL skills and experience working with large datasets.
• Strong understanding of data modeling, data warehousing, and reporting frameworks.
• Strong analytical and problem-solving skills.
• Strong in presentation and storytelling skills.
• Excellent communication skills and ability to explain data clearly to business stakeholders.
• Experience working with cross-functional teams in a fast-paced environment.
• Experience with AWS, Azure, or GCP.
• Familiarity with Spark, Databricks.
• Experience in consulting, retail, e-commerce, or digital platform businesses.
• Experience with data governance, BI strategy, or mentoring junior team members.
• APPLY NOW!.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our.
• Recruitment Privacy Notice.
• LI-SERTIS.

ทักษะ:

Amazon AWS

ประเภทงาน:

งานประจำ

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, su ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Problem Solving, Architecture, Automation, Big Data, Python, Apache, Kafka, Scala, SQL, ETL

ประเภทงาน:

งานประจำ

• We are looking for a visionary and technical.
• Lead Data Engineer.
• to guide and scale our data engineering team within our regional data chapter. In this role, you will own the architecture, evolution, and reliability of our next-generation regional data platform. You will lead a talented team of engineers to optimize our.
• Databricks-driven Data Lakehouse architecture., drive core DataOps practices, implement robust data governance, and collaborate across functional squads to empower advanced analytics, business intelligence, and AI initiatives.
• The ideal candidate is an expert data architect and a proven technical leader who thrives on transforming messy, disconnected datasets into a unified, low-latency, and highly secure data ecosystem.
• Design, build, and continuously optimize our scalable Data Lakehouse platform leveraging Databricks and AWS infrastructure to support global business expansion.
• Lead the design and implementation of highly automated, optimal real-time and batch data extraction, transformation, and loading (ETL/ELT) frameworks. Oversee complex integration with internal microservices, external insurance partners, and third-party APIs.
• Champion engineering best practices by building framework controls, schema registries, automated testing, and CI/CD pipelines for data assets (utilizing tools like dbt and Airflow). Drive initiatives like Databricks serverless migrations and automated performance monitoring.
• Own the end-to-end framework for regional data quality, data observability (e.g., Elementary), data freshness, and data catalogs. Ensure robust data security, compliance (PDPA), and sensitivity tagging across multi-region boundaries.
• Partner with Executives, Product Owners, Software Developers, Data Analysts, and MLOps/Data Science squads to unblock complex technical dependencies, align infrastructure capabilities, and deliver actionable data products.
• Actively research and spearhead proof-of-concepts incorporating advanced technologies like Generative AI/Agentic AI data pipelines (e.g., automated knowledge bases, smart web scraping solutions) into the data ecosystem.
• Manage, mentor, and elevate the technical capabilities of junior and senior data engineers within regional squads, ensuring standardized practices and strong technical ownership.
• 5+ years of experience in Data Engineering, Data Architecture, or a related technical capability role, with at least 2+ years leading engineering teams or core technical projects.
• Deep hands-on experience designing and managing production workloads in.
• Databricks.
• (Delta Lake, Unity Catalog, and serverless compute paradigms).
• Master-level proficiency in.
• SQL.
• (complex query authoring, optimization, and macro writing) and programmatic data engineering in.
• Python.
• or.
• Scala.
• Heavy experience with Big Data open-source frameworks, primarily.
• Apache Spark.
• Expertise with modern cloud data pipeline orchestration tools (e.g.,.
• Airflow., Dagster) and transformation tools like.
• dbt.
• Solid mastery over.
• AWS cloud services.
• infrastructure (S3, EC2, RDS, VPC configurations, network connectivity) integrated within data ecosystems.
• Expert knowledge of transactional databases, distributed storage, message queuing/streaming (e.g., Kafka), and structural patterns for Lakehouse data modeling (Medallion architecture: Bronze, Silver, Gold layers).
• Proven experience performing root cause analysis on production infrastructure failures, handling complex code/infrastructure migrations, and managing data pipeline debts (e.g., optimizing small file storage).
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a highly quantitative relevant field.

ทักษะ:

Project Management, Architecture, SQL, ETL, English

ประเภทงาน:

งานประจำ

• A Business and Data Analyst is a data analytic expert, who identify the business needs into data model, analytics, and business intelligent solutions. The job holder must be able to design, build, and implement BI solutions, with a view to driving business results.
• Key Accountabilities.
• 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:

5 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Mechanical Engineering, Cloud Computing

ประเภทงาน:

งานประจำ

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 5 years of Electrical experience (electrical testing equipment or electrical distribution) in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective eq ...
• Ability to work non-standard hours and work rotations/shifts.
• 5 years of experience in maintenance of electrical distribution systems or construction/technical environment or a related field.
• Experience in data centers, hospitals, or power plants.
• Knowledge of electrical systems used in a data center environment (e.g., Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units).
• Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.
• Ability to communicate with contractors who perform maintenance or upgrade work on the data center systems.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).
• As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
• As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.
• The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Inspect, maintain, and repair various data center systems.
• Provide daily assistance to technicians, read blueprints/schematics/sequence of operations, conduct tours of systems, and assess their working order.
• Manage the uptime and maintenance of UPS, generators, electrical distribution, and control and monitoring systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Support startup, commissioning, and integration of new electrical equipment and systems into facilities infrastructure.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Instrument

ประเภทงาน:

งานประจำ

Control BMS/PMS, electrical, control, and instrumentation system installation per standards. Review technical documents and manage interface coordination. Monitor installation quality and progress for instrumentation and control panels. Verify quality documentation (IR, ITR, test reports) and coordinate QA/QC. Support pre-commissioning, testing, and commissioning activities. Analyze and resolve technical issues; provide improvement recommendations. Location: Data Center, Chachoengsao (housing provided). Schedule: Monday-Saturday, 8:00 AM-5:00 PM. Requirements: Vocational or bachelo ...

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• Study, analyze, and manage databases related to strategic planning and enterprise risk management, as well as prepare summary reports and recommendations for improvements to be presented to executives or relevant departments.
• Study, analyze, and manage databases to support workflow improvement, audits, and the preparation of essential reports for internal organizational development.
• Coordinate, support, and present appropriate data collection to facilitate the development of annual planning processes across all departments. Monitor progress and com ...
• Understand internal work processes to support data collection and analysis, and prepare necessary summary reports.
• Oversee, coordinate, and support the development of annual KPIs with all departments and follow up on performance results.
• Analyze financial statement data and prepare management reports for executive presentation, including developing and expanding internal data for use in an online dashboard.
• Perform other duties as assigned by supervisors.
• Bachelor's degree or higher in Statistics, Computer Science, Information Technology, Business Administration, Economics, or a related field.
• Experience 2-3 years or more in data analysis, business intelligence, or a related role.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and translate findings into actionable insights.
• Proficient in data analysis tools such as Microsoft Excel (advanced level), Power BI, Tableau, or other business intelligence platforms.
• Knowledge of database management and querying languages, such as SQL, is a plus.
• Familiarity with financial data, KPI tracking, and performance dashboards.
• Ability to work collaboratively across departments, with strong communication and presentation skills.
• Detail-oriented, self-motivated, and able to manage multiple tasks and deadlines effectively.
• Close to BTS Nana.
• Provident Fund.
• Health Allowance.
• Travel Allowance.

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).