Enterprise Data Warehouse & Power BI QA We are looking for an experienced Data QA Engineer to support Enterprise Data Warehouse (EDW) initiatives with a strong focus on data validation, ETL testing, and Power BI reporting. This role requires hands-on SQL expertise and close collaboration with Agile delivery teams to ensure high data quality across analytics platforms. Key Responsibilities - Execute hands-on data validation and testing for EDW solutions, including ETL pipelines, data transformations, and reporting layers - Design and execute test cases to validate: - Source-to-target mappings - Data accuracy and completeness - Business rules and transformations - Perform SQL-based data analysis, reconciliation, and defect investigation across multiple data sources and targets - Collaborate closely with Developers, Business Analysts, and Product Owners within Scrum teams to validate requirements and ensure data quality - Validate Power BI dashboards and reports, including: - Data accuracy and calculations - Filters and visual behavior - Security (Row-Level Security - RLS) - Actively participate in Agile ceremonies, providing timely feedback on data risks and quality gaps - Log, track, retest, and validate defect fixes within sprint timelines - Support regression testing, data quality checks, and validation of incremental and historical data loads - Required Qualifications - Bachelor's degree in Computer Science, Information Systems, or equivalent experience - 5+ years of hands-on EDW / Data QA experience - 2+ years of hands-on Power BI testing experience - Strong SQL skills with a solid understanding of data warehousing concepts: - ETL processes - Fact and dimension tables - Slowly Changing Dimensions (SCDs) - Experience testing data in platforms such as: - SQL Server - Azure Synapse - Databricks - or similar data platforms - Experience working in Agile / Scrum environments - Strong analytical, troubleshooting, and problem-solving skills - Ability to collaborate effectively with on-shore and off-shore teams Location: Remote Employment Type: Full-time Interested candidates can apply by sending their resume to:
Job Title
Enterprise Data Warehouse QA