Databricks QA Engineer
Mani SaiRemoteMIDPosted 4h ago
Data EngineeringData ValidationSQLPythonPySparkQA automationMedallion ArchitectureDelta LakeData LakeELTPytestUnity CatalogLakeflow PipelinesDatabricks Asset BundlesODCSData Quality as CodeLakeflow ExpectationsDQXAzure DevOpsCI/CDAI-assisted testingLLM agentsMCP integrationsSynthetic dataMasked data
About the Role
We are looking for an experienced Databricks QA Engineer with a strong background in Data Engineering, Data Validation, SQL, Python, PySpark, and modern QA automation practices.
Key Responsibilities
• Develop and execute functional, integration, negative, edge-case, and regression test cases
• Perform data validation and verify database records and backend system states
• Identify, document, and track defects with detailed evidence
• Prepare test plans, test cases, checklists, and release sign-off documentation
• Follow an automation-first QA approach with manual testing focused on exploratory testing and UAT
Requirements
• Strong Databricks Data Engineering knowledge
• Automation-first testing mindset
• Excellent SQL, Python, and PySpark skills
• Strong understanding of modern data architectures and data quality frameworks