Data Test Engineer

RegASK is an AI-driven solution that automates regulatory intelligence and streamlines compliance across the product lifecycle. As a Data Test Engineer, you will ensure the quality and reliability of data infrastructure, focusing on ETL pipelines and cloud-based data services while collaborating with cross-functional teams.

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