Data QA Engineer

We're working with a leading technology company that specializes in innovative data solutions and digital transformation. They are dedicated to delivering robust and reliable data platforms for their clients.

The Role

• Validate data pipelines and ensure data integrity across ETL processes
• Work closely with Data Engineering to build automated testing frameworks
• Design and execute test cases for data pipelines and transformations
• Build automated QA scripts in Python to validate data accuracy at scale
• Partner with engineering to troubleshoot data discrepancies
• Document QA processes and maintain test coverage

What You'll Need

• Strong hands-on SQL skills, including complex queries, joins, and data validation
• Solid experience with ETL/ELT pipelines
• Proficiency in Python for test automation and scripting
• Experience with data quality frameworks or custom validation scripts
• Exposure to cloud data platforms (AWS/Azure/Google Cloud Platform) is a plus
• Familiarity with CI/CD for data pipelines is a plus

What's On Offer

• Opportunity to work on cutting-edge data integrity challenges
• Collaborate with a talented Data Engineering team
• Contribute to the development of automated testing frameworks

Apply via Haystack today!