SENIOR QA – ETL @ SE MENTOR SOLUTIONS
The successful candidate will have at least 5 years of experience in QA, specifically focusing on ETL and data validation. Your technical toolkit should include Python and PySpark for creating automated testing scripts. You will collaborate closely with the data engineering team to identify, report, and resolve data discrepancies. This role requires a meticulous eye for detail and a deep understanding of data life cycles and testing methodologies. No specific salary was mentioned in the job announcement.