Job Summary
Key Responsibilities.Validate ETL/ELT pipelines, transformation logic, and data processing workflows.Develop SQL-based test cases and reconciliation queries using BigQuery.Compare outputs from new pipelines and transformations against trusted reference datasets.Perform source-to-target validation, regression testing, and functional testing of data engineering artifacts.Design, develop, and maintain automated test scripts and reusable validation frameworks using Python.Execute test plans, record test results, and report defects with sufficient evidence for resolution by development teams.Collaborate with Data Engineers to clarify requirements, validate fixes, and ensure successful delivery.Contribute to the continuous improvement of QA processes, automation frameworks, and testing standards. Mandatory skills:Dataplex, LookerNice to have - Python, Big query
Key Responsibilities
Key Responsibilities.Validate ETL/ELT pipelines, transformation logic, and data processing workflows.Develop SQL-based test cases and reconciliation queries using BigQuery.Compare outputs from new pipelines and transformations against trusted reference datasets.Perform source-to-target validation, regression testing, and functional testing of data engineering artifacts.Design, develop, and maintain automated test scripts and reusable validation frameworks using Python.Execute test plans, record test results, and report defects with sufficient evidence for resolution by development teams.Collaborate with Data Engineers to clarify requirements, validate fixes, and ensure successful delivery.Contribute to the continuous improvement of QA processes, automation frameworks, and testing standards. Mandatory skills:Dataplex, LookerNice to have - Python, Big query