Jobs → Data & Analytics → AI, Data & Analytics Quality Engineer

About the Role We are looking for an experienced AI, Data & Analytics Quality Engineer to validate AI-enabled applications, data platforms, reporting solutions, and enterprise analytics products. Key Responsibilities • Validate AI-enabled applications, data platforms, reporting solutions, and enterprise analytics products • Perform data validation and source-to-target reconciliation • Conduct API testing and system integration testing • Implement test automation frameworks and automated testing • Perform functional, regression, integration, and UAT testing Requirements • 5+ years of experience in QA, Quality Engineering, or Software Testing • 3+ years of experience in Data, BI, Analytics, or Reporting Testing • Experience testing AI-enabled applications, Microsoft Copilot, or AI-generated outputs • Experience with Microsoft Fabric, Power BI, or similar analytics platforms • Strong SQL, data validation, and source-to-target reconciliation skills • Experience with test automation frameworks and automated testing • API testing and system integration testing experience • Knowledge of functional, regression, integration, and UAT testing • Experience working in Agile environments Preferred Skills • Generative AI, prompt engineering, and AI output evaluation • Playwright, Mabl, or similar automation frameworks • Dynamics 365 CE/F&O, Dataverse, and Power Platform • CI/CD pipelines, data governance, and data lineage Preferred Certifications • Microsoft Fabric Analytics Engineer Associate (DP-600) • Microsoft Fabric Data Engineer Associate (DP-700) • Azure AI Fundamentals (AI-900) • Power BI Data Analyst Associate (PL-300)