AI, Data & Analytics Quality Engineer
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Hiring: AI, Data & Analytics Quality Engineer
📍
Location:
Remote Employment Type:- C2C Experience:-10+ Share your resumes to We are looking for an experienced
AI, Data & Analytics Quality Engineer
to validate AI-enabled applications, data platforms, reporting solutions, and enterprise analytics products.
🔹 Required Skills:
- 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) 📌
Additional Details:
- Initial contract duration: 12 months. - Only candidates open to potential full-time conversion. - Candidates local to Northern Virginia, Washington, DC metro, or Chicago metro will receive preference. - Remote/hybrid arrangements are subject to client requirements. 📩
Interested candidates:
Please share your updated resume, current location, work authorization.