ETL Tester- SJ-IQ

Senior QA Engineer – ETL & Data Platform (6–8 years)

.

Responsibilities:

• Own end-to-end test strategy for data pipelines (ingestion transformation consumption) across environments (Dev/Test/Prod).
• Design & implement automation frameworks in Python for ETL/ELT validation (schema, DQ, business rules, transformations, aggregations, deduplication, SCD logic).
• Build reusable test libraries for Databricks notebooks/jobs, tables, and SQL validation.
• Implement CI/CD-integrated tests (integration, and regression) for data workloads.
• Covert Manual use cases to automated test cases and provide end to end coverage.

Required Qualifications

• 6–8 years in QA/Testing with at least 3+ years focused on data/ETL testing in cloud environments.
• Strong hands-on with Python for test automation (PyTest/Unittest), data manipulation (Pandas, PySpark), and API/CLI automation.
• Practical experience with Databricks (preferred): Notebooks, Jobs, Delta Lake, Unity Catalog, Cluster/SQL Warehouse basics
• Solid SQL skills for complex joins, window functions, aggregations, and performance-aware data validations.
• Strong understanding of ETL/ELT patterns, data modeling concepts (Star/Snowflake, SCDs), data lineage, and metadata management.
• Excellent communication, documentation, and stakeholder collaboration skills.