Data Engineer

For over twenty-five years, ISM Technology Recruitment has been putting Thai IT contractors into great, high-paying contracts at Thailand’s biggest and best-known companies.

Whether you’re looking for a short-term project or a longer-term assignment, we’re here to help you make the best choice for your IT career. And of course we recruit for permanent positions too… contracting can be a great way to “get in the door” and be considered for full-time employment by our blue-chip, enterprise clients.

When you contract through ISM you’ll have the confidence that comes from knowing that your agency has a solid financial background and a reputation for ethical business practices.

So what are you waiting for? If you have at least three years’ work experience and a passion for IT, you owe it to yourself to find out what you could be earning as a contractor.

Click “Apply” to send your CV to ISM now and start your excellent journey to new opportunities and attractive pay as a contract IT professional.

Description

• Design, implement, and optimize data pipelines and workflows to ensure efficient and reliable data processing.
• Integrate and manage data from multiple sources to support analytics and reporting needs.
• Design, maintain, and evolve data architecture to meet current and future business needs.
• Ensure data quality, reliability, and system scalability across multiple environments.
• Utilize cloud services and Big Data platforms (AWS Glue, Redshift, S3, Lambda) to deliver scalable data solutions.
• Collaborate with cross-functional teams to understand business requirements and provide effective data solutions.

Qualification

• Minimum of 5 years of hands-on experience in Data Engineering.
• Strong expertise in AWS cloud services (Glue, Redshift, S3, Lambda).
• Proficient in SQL, Oracle, and Python.
• Experience with CI/CD tools such as GitLab and GoCD.
• Strong knowledge of data workflows, with the ability to design and optimize data processing solutions.
• Solid understanding of ETL, Data Lakes, and Data Warehousing.
• Proven ability to work in Big Data environments and deliver high-quality, scalable solutions.