• Author and execute comprehensive data validation test suites for data warehouse systems, ETL processes, and database integrity to deliver accurate, high‑quality data solutions on time. • Follow standard operating procedures, validate data accuracy and transformation logic, track and close data‑related defects, and document evidence across multiple environments (dev, test, pre‑prod, prod). • Mentor QA engineers and collaborate with cross‑functional teams to ensure high‑quality data warehouse solutions meet company commitments. • Partner with product, engineering, and internal teams for support, training, and knowledge transfer on database and data warehouse testing best practices. • Identify and drive improvements in data testing processes and automation. • Review and provide feedback on technical documentation for data pipelines, ETL processes, and database schemas. • Research and introduce new tools, frameworks, and best practices for database and warehouse test automation. • Collaborate on defining and executing test strategies for data‑centric products. • Analyze acceptance criteria, create test cases, and maintain automated test suites for data validation. • Validate data accuracy, integrity, and transformation logic across multiple database environments. • Troubleshoot and resolve data‑related issues to ensure high data quality throughout the pipeline. • Independently lead testing efforts and participate in Agile ceremonies with the Data Intelligence team.