253 Big Data Hadoop jobs in Thailand

We are looking for:

• Data Engineer - Information Technology

Location - work at Amata City Chonburi (onsite 100%)

Our Team

This position will be under IT Application Department based on Factory and coordinate with Operation user.

What You Will Do: Job Details

• Design and implement scalable and robust data pipelines to support analytics and data processing needs.
• Develop and maintain database architectures, including data lakes and data warehouses.
• Ensure data quality and consistency through data cleaning, transformation, and validation processes.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that support business objectives.
• Optimize data retrieval and develop dashboards and reports for various user needs.

Qualification

• Bachelor's degree in Computer Science or Engineering / Business Managment (IT) or related field
• Fresh graduates with the right skill set also welcome or have internship experience in releated field.
• Proven experience with SQL and database management systems.
• Proficiency in programming languages such as Python, Java, or Scala. Familiarity with data modeling and ETL processes
• Good Communication in English both of written and spoken

Responsibilities

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, performance, and flexibility, taking into account business requirements and data analysis needs.
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.

Qualifications

• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.

Location: BTS Ekkamai

Working Day: Mon-Fri (WFA Every Friday)

• Work very closely with data analyst, SRE and developers to develop data models and pipelines for research, reporting
• Hands on experience or technical skills to other team members
• Initiate ideas or lead the team to able to solve problems together
• Create technical documentation from implemented data infrastructure/software such as API documents, code structure design, architecture design etc.
• Do coding for gathering data, ETL and some specific areas that can't be solved with current software setting up
• Improve/maintain/refactor/redesign the code by based on scaling of collected data
• Setup and maintain data pipeline, ETL, data lake, data warehouse and data visualization
• Understand objective of data analyst/business team and make solution or research new technology to support
• Monitor and troubleshoot data pipeline issues
• Optimizing the data pipeline for performance and scalability

Qualifications:

• Graduated or experienced in faculty/area of technology/data engineering
• Experience in data engineer or related at least for 2 years

• Experience in at least three of the following languages/ technology

• Python

• Scala
• Java
• R
• SQL
• Docker/Kubernetes

• Experience in at least three of setting up or working with related data technology

• Apache Spark

• Apache Hadoop
• Delta Lake
• PrestoDB
• Superset
• Elasticsearch/Kibana
• Airflow
• Cloud base data technology (AWS/GCP/Azure)
• Experience with data warehousing and ETL processes is a must
• Understand the fundamentals of programming languages
• Understand service deployment pipeline or CI/CD
• Self-motivated and able to work both independently and in collaboration with other technologists at all levels
• Understand data architecture design
• Understand OOP programming and SOLID principles
• Partly understand the networking between services and various protocol in each layer
• Partly experience in various technology that use in setting up data pipeline, ETL, data lake, data warehouse and data visualization

Job Description

• Design, develop, and optimize ETL/ELT pipelines to ingest structured and unstructured data from multiple sources.
• Build and maintain data lakes, data warehouses, and databases to support analytics and business intelligence.
• Ensure data quality, reliability, and consistency across different environments.
• Implement and optimize SQL and NoSQL databases for performance and scalability.
• Collaborate with cross-functional teams to integrate data from various business systems.

Qualifications

• Strong proficiency in SQL and hands-on experience with relational databases.
• Solid understanding of data modeling, warehousing concepts, and performance tuning.
• Hands-on experience with ETL tools (e.g., Talend, Informatica, dbt, Airflow, etc.).
• Strong problem-solving skills with the ability to work in an agile, fast-paced environment.
• Experience with version control (e.g., Git) and workflow orchestration tools (e.g., Airflow, Prefect, Luigi) is a plus.

Data Engineer

Design and develop data pipelines:

• Design and implement scalable and efficient data integration solutions.

• Develop and maintain data pipelines using batch and real-time processing techniques.

• Optimize data pipelines for performance and scalability.

Support data analytics initiatives:

• Collaborate with data analysts and scientists to understand data requirements.

• Transform business requirements into technical specifications for data pipelines.

• Develop and maintain data models and schemas to enable efficient data analysis.

• Implement data quality checks and data governance practices.

Ensure data quality and integrity:

• Identify and resolve data quality issues within the data ecosystem.

• Implement data governance practices to ensure consistent, reliable, and accurate data.

Collaborate with cross-functional teams:

• Work closely with data scientists, analysts, and software engineers to understand data requirements and use cases.

• Collaborate with database administrators and infrastructure teams to optimize data storage and processing.

• Provide technical guidance and support to less experienced data engineers.

Strong data engineering skills:

• Expertise in designing and implementing data pipelines and workflows.

• Demonstrated experience with batch and real-time data processing frameworks.

Data modelling and database skills:

• Solid understanding of data modelling techniques and best practices.

• Experience with relational (e.g., MSSQL, MySQL, PostgreSQL) and NoSQL databases (e.g., Cassandra) and data warehousing concepts.

Programming and scripting skills:

• Proficiency in one or more programming languages Python (or Java/ Scala).

• Experience with scripting languages (e.g., Shell, PowerShell).

Big data technologies:

• Familiarity with distributed computing frameworks (e.g., Hadoop, Spark).

• Experience with big data processing engines (Databricks) and query languages (Python and PySpark).

Data quality and governance:

• Knowledge of data quality management principles and practices.

• Understanding of data governance frameworks and data lineage.

• Familiarity with metadata and data cataloging tools.

Banking domain knowledge:

• Understanding of banking products and processes (e.g., loans, deposits, payments).

• Knowledge of regulatory requirements and compliance in the banking industry.

Strong analytical and problem-solving skills:

• Ability to analyze complex data issues, identify root causes, and propose effective solutions.

• Strong attention to detail and ability to maintain data integrity.

Communication and collaboration:

• Excellent interpersonal and communication skills.

• Ability to work collaboratively in a cross-functional team environment.

• Strong documentation skills.

Location: Bangkok Bank Head Office Silom (BTS Saladaeng, MRT Silom)

About Siam Validus

Siam Validus is a joint venture company between SCG Distribution Co., Ltd. and an award-winning regional fintech Validus group, the largest SME Financing marketplace in Singapore. We are an SME crowdfunding platform approved by the Securities Exchange Commission Thailand (SEC) that aims to empower SMEs via debt crowdfunding and drive capital flow and investment that is essential for the growth of SMEs and Thai economy.

We invite you to explore opportunities at Siam Validus to see if your qualifications and career aspirations may fit our openings. If you are interested, please send your resume to

Role Overview

e

We are seeking a highly skilled and motivated
Data Engineer
to join our growing team. You will be responsible for designing, building, and maintaining robust, scalable data pipelines and infrastructure. Your work will enable efficient data ingestion, processing, and storage to support analytics, reporting, and modeling initiatives.

Key Responsibilities

• Design, build, and manage scalable ETL data pipelines.
• Integrate data from various sources (structured/unstructured, internal/external).
• Work with cross-functional teams to understand data requirements and deliver clean, reliable datasets.
• Maintain and optimize data warehouse solutions.
• Monitor data quality and perform root cause analysis for data-related issues.
• Automate data workflows and implement CI/CD practices for data pipelines.
• Collaborate with Data Analysts, Data Scientists, and Software Engineers to enable data-driven solutions.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2–5 years of experience as a Data Engineer or in a similar role.
• Solid understanding of data modeling, data governance, and data quality best practices.
• Strong programming skills in Python and SQL.
• Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Redshift, BigQuery, S3, EC2).

Imagine being responsible for
collaborating with product managers, architects, and other key profiles across the global organisation. You will support business verticals and clusters in maximising the value of our data and driving business change as a result. Your primary focus will be on building and implementing scalable data products on our global data platform, working alongside other talented engineers across the organisation
—for the world's largest jewellery brand. If you enjoy
building high-quality data and Data & Analytics products on our Azure PaaS data platform, you might be our next Data Engineer
at Pandora Crafting & Supply.

Our journey:
We are on a journey from IaaS based Microsoft solutions to Azure PaaS with use of well-known tools and solutions like ADF, Data Lake, Synapse, Analysis Services and DataBricks. As a Data Engineer you will build high quality data and Data & Analytic products on our Azure Paas data platform.

We love that you will…

• Work closely with your colleagues within a product team to design scalable, efficient and stable products
• Work closely with product owners to build and deliver features designed to support PANDORA to drive the business cases and efficiencies within reporting and analytics & AI and other data driven use cases
• Create and maintain high quality data pipeline architecture
• Obtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modelling
• Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.
• Own your data products and track continuous stability and benefits

We love that you are…

• A bachelor's degree in computer science, Mathematics, Economics, Information Management, or Statistics
• Minimum of 3 years of proven experience with Databricks, ADF, Data Lake, Synapse, T/U-SQL, and SQL Server
• Proficiency in at least one object-oriented, functional, or scripting language such as PySpark, SQL, or Python
• Experience with DevOps practices and a strong focus on CI/CD
• Hands-on experience with relational datasets using SQL
• Solid knowledge of data warehousing and dimensional modelling
• Proven ability to build and optimise data pipelines, architectures, and datasets
• Experience working with cloud platforms such as Azure, AWS, or other providers
• Familiarity with streaming data processing or technologies such as C#, JavaScript, or containerisation
• Passion for data and engineering, with a product-oriented mindset and can-do attitude
• Strong team player with excellent stakeholder management skills
• Structured, analytical, and results-driven approach to work
• Confident communicator, able to explain solution designs and tailor messages to different audiences.

About the Team:
You will be an essential part of the data engineering organization and Pandora's extended Data & Analytics community. You will work within the data product engineering team in a virtual and agile based organization. As we are a growing team, you will have the chance to influence our culture and working tools and work together with other data engineers, Data Visualization Specialists, architects, scrum masters, product managers and much more from Europe, India and Thailand.

Welcome to our Crafting & Supply
The magic happens at our crafting facilities, where we combine centuries-old crafting traditions and high-quality materials with modern production techniques. You will be warmly greeted with over 13,000 craftspeople who are excellent at crafting and supplying the world's largest jewellery brand with our craftsmanship.
You will be part of a team of data product engineering people and report to Manager, Data Engineering
.

Join a team that is as diverse and inclusive as our jewellery. We believe and value creative thinking and ensure that there's equitable opportunities for all.

• Foster your growth and craft opportunities through our learning and development programmes.
• At Pandora, no effort or contribution goes unnoticed. We offer a wide range of opportunities and benefits to ensure that our employees feel valued, supported, and cared for.
• Transportation services are also available to drop you at the closet BTS station and other community areas.

About Pandora Crafting & Supply
Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2024, there are 113 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.

About Pandora Group
Pandora is the world's largest jewellery brand. Designed in Denmark and crafted in Thailand, Pandora jewellery provides endless opportunities for personalisation, allowing people to express their passions and show who they are. The company's products are made from high-quality materials and sold in more than 100 countries through 6,785 points of sale, including 2,788 concept stores.

Pandora is committed to leadership in sustainability and is sourcing lab-grown stones and recycled silver and gold for all its jewellery. Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide, is listed on the Nasdaq Copenhagen stock exchange, and generated sales of DKK 31.7 billion (EUR 4.25 billion) in 2024.

Role Summary:

We are looking for a passionate and driven Data Engineer Intern to join our data team. This is an exciting opportunity to gain hands-on experience in data engineering, data warehouse and data mart development, and business intelligence. You will work with real-world business data from ERP, CRM, and internal systems to build and optimize data pipelines and dashboards that support strategic decision-making. Foreign candidates are welcome to apply.

Key Responsibilities:

• Collect and consolidate data from various sources including ERP systems, CRM platforms, internal reports, and databases for in-depth analysis.
• Assist in planning, modeling, building, and maintaining data warehouses and data marts that support business reporting and analytics.
• Ensure proper data governance through master data management aligned with organizational policies.
• Validate and audit data to maintain accuracy, consistency, and reliability across systems.
• Develop and maintain ETL pipelines to automate data flow and transformation processes.
• Create, enhance, and automate dashboards and reports using BI tools (e.g., Power BI, Tableau, Looker) for management and team use.
• Analyze business data to identify trends, provide actionable insights, and support strategic initiatives.
• Collaborate with cross-functional departments to understand data requirements and deliver appropriate solutions.
• Identify and propose improvements to optimize manual data processes using automation and modern tools.
• Perform additional duties as assigned by the supervisor.

Qualifications

• 3rd-year, 4th-year, or final-year university student majoring in Computer Science, Information Technology, Data Science, Business Analytics, or related fields.
• Available for a full-time internship of at least 4 months.
• Understanding or experience in data warehouse/data mart design, data modeling, and data engineering concepts.
• Familiar with ETL processes and using business data from systems like ERP or CRM.
• Proficient in data visualization and reporting tools such as Power BI, Tableau, or Looker.
• Strong analytical and problem-solving skills; able to interpret data trends and patterns effectively.
• Detail-oriented, proactive, and eager to learn new tools and technologies.
• Team player with good communication and interpersonal skills.
• Good command of English in both verbal and written communication.
• Foreigners are welcome to apply and encouraged to participate in this internship opportunity.

What you'll gain:

• Real-world exposure to data engineering and business analytics in a corporate setting.
• Experience working with ERP and CRM systems, and designing scalable data architecture.
• Mentorship and collaboration with experienced data professionals.
• Opportunity for a future full-time role based on performance.

Imagine being responsible for collaborating with product managers, architects, and other key profiles across the global organisation. You will support business verticals and clusters in maximising the value of our data and driving business change as a result. Your primary focus will be on building and implementing scalable data products on our global data platform, working alongside other talented engineers across the organisation—for the world's largest jewellery brand. If you enjoybuilding high-quality data and Data & Analytics products on our Azure PaaS data platform, you might be our next Data Engineer at Pandora Crafting & Supply.

Our journey:

We are on a journey from IaaS based Microsoft solutions to Azure PaaS with use of well-known tools and solutions like ADF, Data Lake, Synapse, Analysis Services and DataBricks. As a Data Engineer you will build high quality data and Data & Analytic products on our Azure Paas data platform.

We love that you will…

• Work closely with your colleagues within a product team to design scalable, efficient and stable products
• Work closely with product owners to build and deliver features designed to support PANDORA to drive the business cases and efficiencies within reporting and analytics & AI and other data driven use cases
• Create and maintain high quality data pipeline architecture
• Obtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modelling
• Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.
• Own your data products and track continuous stability and benefits

We love that you are…

• A bachelor's degree in computer science, Mathematics, Economics, Information Management, or Statistics
• Minimum of 3 years of proven experience with Databricks, ADF, Data Lake, Synapse, T/U-SQL, and SQL Server
• Proficiency in at least one object-oriented, functional, or scripting language such as PySpark, SQL, or Python
• Experience with DevOps practices and a strong focus on CI/CD
• Hands-on experience with relational datasets using SQL
• Solid knowledge of data warehousing and dimensional modelling
• Proven ability to build and optimise data pipelines, architectures, and datasets
• Experience working with cloud platforms such as Azure, AWS, or other providers
• Familiarity with streaming data processing or technologies such as C#, JavaScript, or containerisation
• Passion for data and engineering, with a product-oriented mindset and can-do attitude
• Strong team player with excellent stakeholder management skills
• Structured, analytical, and results-driven approach to work
• Confident communicator, able to explain solution designs and tailor messages to different audiences.
• Fluent communication in English

About the Team:

You will be an essential part of the data engineering organization and Pandora's extended Data & Analytics community. You will work within the data product engineering team in a virtual and agile based organization. As we are a growing team, you will have the chance to influence our culture and working tools and work together with other data engineers, Data Visualization Specialists, architects, scrum masters, product managers and much more from Europe, India and Thailand.

Welcome to our Crafting & Supply

The magic happens at our crafting facilities, where we combine centuries-old crafting traditions and high-quality materials with modern production techniques. You will be warmly greeted with over 13,000 craftspeople who are excellent at crafting and supplying the world's largest jewellery brand with our craftsmanship. You will be part of a team of data product engineering people and report to Manager, Data Engineering.

Join a team that is as diverse and inclusive as our jewellery. We believe and value creative thinking and ensure that there's equitable opportunities for all.

• Foster your growth and craft opportunities through our learning and development programmes.
• At Pandora, no effort or contribution goes unnoticed. We offer a wide range of opportunities and benefits to ensure that our employees feel valued, supported, and cared for.
• Transportation services are also available to drop you at the closet BTS station and other community areas.

About Pandora Crafting & Supply

Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2024, there are 113 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.

About Pandora Group

Pandora is the world's largest jewellery brand. Designed in Denmark and crafted in Thailand, Pandora jewellery provides endless opportunities for personalisation, allowing people to express their passions and show who they are. The company's products are made from high-quality materials and sold in more than 100 countries through 6,785 points of sale, including 2,788 concept stores.

Pandora is committed to leadership in sustainability and is sourcing lab-grown stones and recycled silver and gold for all its jewellery. Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide, is listed on the Nasdaq Copenhagen stock exchange, and generated sales of DKK 31.7 billion (EUR 4.25 billion) in 2024.