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