Design and execute test cases for ETL pipelines moving data into and out of MongoDB and Azure data services
Validate data accuracy, completeness, and transformation logic from source systems through to Power BI dashboards
Build and maintain automated test frameworks for UI, API, and data layer testing
Write MongoDB aggregation queries and SQL to verify data integrity and reconciliation
Test Power BI reports and dashboards for data correctness, calculation logic, and refresh reliability
Validate Azure Data Factory pipelines, Azure Functions, and related data workflows
Integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions)
Collaborate with data engineers, BI developers, and product teams on test strategy
Identify, document, and track defects through resolution

Hands-on experience with MongoDB: aggregation pipelines, indexing, query optimization
Working knowledge of Azure data services (Data Factory, Synapse, Blob Storage, or Databricks)
Experience testing Power BI reports
validating DAX measures, data models, and visualizations
Proficiency in at least one automation framework: Playwright, Selenium, Cypress, or PyTest
Programming experience in Python, JavaScript/TypeScript, or C#
API testing experience (Postman, REST Assured, or similar)
Strong SQL skills for cross-validation against relational sources

Data Test Engineer

Key skills