Hands-on experience with Snowflake or similar cloud data warehouses
Requirements:
Plan and execute ETL/data quality testing and validation for data pipelines
Develop and maintain ETL test automation using Python/PyTest
Perform API testing (manual and automated using Python) and validate data with SQL
Collaborate with data engineering on data architectures (Bronze–Silver–Gold), support defect tracking and test management; exposure to AI-based test accelerators (preferred)
Job description
Senior QA Engineer (ETL & Data Engineering)
Experience: 6–9 Years
Location: Remote
BGV: Mandatory
PF UAN: Required
Key Skills:
Strong QA experience in ETL / Data Testing
Advanced SQL for large dataset validation
Understanding of modern data architectures
Hands-on with Snowflake or similar cloud data warehouses
