Title: Senior QA Engineer Microsoft Fabric / AI / Data Analytics
Location: Bangalore (Hybrid)
Experience: 8 12 years
Key Responsibilities:-
1. QA Strategy Planning & Documentation
Define QA strategy for Microsoft Fabricbased data platform projects including test scope approach timelines and resource planning.
Create detailed test plans test scenarios and test cases for:
Data ingestion pipelines (Bronze Silver Gold layers)
Fabric notebooks dataflows and pipelines
Microsoft Purview integrations (lineage cataloging classifications)
AI-enabled Fabric features and Copilot workflows
Power BI dashboards and semantic models
Establish standard QA processes such as defect lifecycle traceability matrices and release readiness reporting.
2. Data Pipeline & Platform Testing
Validate data ingestion from multiple sources (e.g. OMS SCADA GIS CIS ABS Partner systems).
Perform schema validation reconciliation and data quality checks across layers.
Conduct ETL/ELT testing including:
Data completeness
Data accuracy
Performance validations
Error handling and retry logic
Verify audit/balance/control mechanisms in data pipelines.
Perform regression and integration testing for iterative sprints.
3. Power BI & Reporting QA
Validate dashboards and reports (including mediumcomplexity multisource designs).
Test DAX logic measures filters drill-downs and visual accuracy.
Validate golden datasets and semantic models connected to the Fabric environment.
Ensure consistency in lookandfeel and UX standards.
4. AI Copilot & Automation Validation
Test Copilot enablement features in Microsoft Fabric:
Prompt integration and responses
AI-driven dataflows
Automated model suggestions
AI enrichment and semantic extraction
Validate AI model performance outputs and alignment with security and compliance rules.
Automate repetitive test cases using tools such as:
PyTest / Python
PowerShell / Fabric REST API
Power BI Testing Frameworks
5. Environment Security & Governance Validation
Validate RBAC implementation across workspaces and domains.
Confirm security propagation across Fabric objects.
Test compliance requirements and governance policies configured during the setup.
Validate Purview lineage accuracy.
6. UAT & GoLive Support
Support UAT cycles defect triage and priority management.
Work with SMEs to validate business use cases and reporting requirements.
Support GoLive readiness documentation postdeployment validation and hypercare.
Required Skills & Experience
Technical Skills
610 years of QA experience in Data Platform / BI / Analytics projects.
Strong handson QA experience in:
Microsoft Fabric (pipelines dataflows notebooks lakehouses)
Power BI (datasets semantic models dashboards)
Azure Data services (Data Factory Synapse SQL ADLS Gen2)
Strong SQL for deep data validation.
Familiarity with AI workflows and validation of LLMbased features (Copilot preferred).
Experience testing ETL/ELT processes and data warehouse models (e.g. medallion).
Automation skills in Python PyTest PowerShell or Fabric APIs.
Knowledge of DevOps pipelines CI/CD version control (Git/Azure DevOps).
Soft Skills
analytical and problemsolving ability.
communication skills for crossfunctional coordination.
to lead QA efforts endtoend with minimal supervision.
documentation discipline and stakeholder reporting.
Nice-to-Have Skills
validating Microsoft Purview lineage & metadata.
of AI prompt engineering concepts.
to cloud cost optimization testing for Fabric.
validating SCADA/OMS/Utility datasets (aligned to your SOW).
or equivalent certification.
Required Experience:
Senior IC
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