• Partner with Data Engineers, Analysts, and business stakeholders to define quality requirements. • Document test cases, data validation rules, and best practices for scalable data governance. • Develop and implement test cases for ETL/ELT pipelines, data transformation, and ingestion processes. • Perform data validation, execute test cases (manual or automated) and analyze results. Regression testing ensures sufficient error validation is present. Reconcile variances and data anomalies to ensure high-quality data. • Validate data transformations and ingestion processes for structured and unstructured data. • Monitor and troubleshoot data issues, failures, and inconsistencies across the pipeline. • Provide support for root cause analysis and resolution of data-related defects, including the identification of code changes. • Document and track defects, providing detailed reports to development teams for resolution. • Participate in the design and implementation of automated testing scripts to improve testing efficiency. • Conduct regression testing to ensure that new code changes do not adversely affect existing functionality. • Perform post-release and post-implementation validation of software performance in production environments. • Continuously monitor and evaluate the quality of software deliverables, providing feedback for improvement opportunities. • Collaborate with end users to gather feedback.