Mid-Level QA / Testing Automation Engineer

Role: Mid-Level QA / Testing Automation Engineer Experience Requirements: • Total QA/Testing Experience: 10+years • Data Testing Experience: 7+ years in Big Data, Hadoop, or Cloud Data Warehouse environments • Good to have: 4+ year of Databricks experience (testing pipelines) • Strong automation experience transitioning from manual SQL checks to Python-based testing frameworks • Experience in migration automation testing using Python Required Certifications: • Good to have: Databricks Certified Data Engineer Associate • Preferred: ISTQB Foundation or Advanced Level (Test Automation Engineer) Core Technical Skills: • Data validation using Great Expectations / Pandera • Strong understanding of Delta Live Tables (DLT) expectations • Advanced SQL for large-scale data reconciliation • Python (PySpark), pytest-spark, and automated notebook testing • Data reconciliation and source-to-target validation • Performance, scalability, and end-to-end pipeline testing • Schema evolution and integration testing • Governance & security testing (Unity Catalog, RLS, masking, lineage) Preferred Background: • Data-first mindset with strong focus on data validation • Experience with Git (branching/merging) • Basic understanding of distributed systems and Spark Key Responsibilities: • Develop and implement test strategies for data platforms • Automate data validation using Python within CI/CD pipelines • Perform defect analysis and collaborate with data engineers • Conduct regression testing to ensure data accuracy and consistency