Description
Key Skills: Power BI, SQL, Microsoft Fabric, Excel, Azure, Data Quality Testing, Automated Testing, Quality Assurance, Data Validation, Playwright
Good to Have Skills: AI Testing Frameworks, SDLC methodology, Azure security protocols, governance frameworks, continuous integration/continuous testing (CI/CT) practices, root cause analysis for complex data and reporting issues, data migrations experience, testing frameworks for data pipelines and integrations.
Roles & Responsibilities:
- Develop and implement comprehensive QA strategies for data workflows, pipelines, and models within Microsoft Fabric environment.
- Establish repeatable testing processes to validate data quality, consistency, and accuracy across Power BI reports and semantic models.
- Test Power BI Service functionality including navigation, permissions, and user interactions to ensure optimal performance.
- Validate front-end report outputs and ensure consistency with underlying data sources through comprehensive testing.
- Query SQL backend sources to confirm data accuracy, transformations, and performance across different environments.
- Compare legacy versus Fabric environments to ensure identical functionality and results during migration processes.
- Design and manage automated testing processes for pipelines, models, and integrations to improve efficiency.
- Document test cases, scenarios, and outcomes in a clear and reproducible manner for future reference.
- Track and report quality metrics ensuring SLAs for data availability and accuracy are consistently met.
- Work closely with Business Analysts, Power BI Developers, Data Engineers, and Governance Specialists to maintain quality standards.
- Conduct root cause analysis for data-related issues and coordinate resolution efforts with relevant teams.
- Recommend improvements in testing frameworks, methodologies, and tools to enhance overall QA processes