Data Test Engineer
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Job Description
Data Test Engineer ensuring quality, accuracy, and reliability of data infrastructure at RegASK. Responsible for end-to-end data validation and automation across cloud-based services and dashboards.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Flexible work arrangements
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