Senior Quality Assurance Analyst at Datavail Career Site

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, Power BI, Azure Data Services, SQL, Python, PyTest, PowerShell, Fabric REST API, ETL/ELT Testing, Data Quality, AI Validation, Copilot, RBAC, Microsoft Purview, Git, Azure DevOps

Industry

IT Services and IT Consulting

Description

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 Fabric–based 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 medium‑complexity multi‑source 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 look‑and‑feel 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 & Go‑Live Support Support UAT cycles, defect triage, and priority management. Work with SMEs to validate business use cases and reporting requirements. Support Go‑Live readiness, documentation, post‑deployment validation, and hypercare. Required Skills & Experience Technical Skills 6–10+ years of QA experience in Data Platform / BI / Analytics projects. Strong hands‑on 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 LLM‑based 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 1.Strong analytical and problem‑solving ability. 2.Excellent communication skills for cross‑functional coordination. 3.Ability to lead QA efforts end‑to‑end with minimal supervision. 4.Strong documentation discipline and stakeholder reporting. Nice-to-Have Skills 1.Experience validating Microsoft Purview lineage & metadata. 2.Understanding of AI prompt engineering concepts. 3.Exposure to cloud cost optimization testing for Fabric. 4.Experience validating SCADA/OMS/Utility datasets (aligned to your SOW). 5.ISTQB or equivalent certification. Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

Responsibilities

The Senior QA Engineer will define and execute the end-to-end Quality Assurance strategy for a large-scale data analytics and AI platform built on Microsoft Fabric, covering data ingestion, medallion architecture, semantic models, and AI features like Copilot. Key duties involve validating data pipelines, Power BI reporting, security, and supporting UAT cycles through rigorous testing and documentation.