Data Platform QA

About the Role

We are looking for an experienced QA Engineer with strong expertise in testing data platforms. The ideal candidate will have hands-on experience validating data pipelines, backend APIs, data transformations, dashboards, and platform-level workflows with a strong understanding of Azure Synapse, Data Warehouse, and medallion architecture.

This role involves ensuring data accuracy, integrity, performance, security, and end-to-end quality across the platform.

Key Responsibilities

1. Test Planning & Execution

• Develop and execute detailed test plans, test cases, and test scripts for:

• Data pipelines and ETL workflows

• Backend APIs

• Frontend portals and reporting interfaces

2. ETL & Data Integrity Validation

• Identify and troubleshoot issues related to:

• ETL data accuracy and integrity

• Data performance bottlenecks

• Scalability concerns across data workloads

• Work extensively on the Azure Synapse data platform, Data Warehouse layers, and medallion architecture.

3. Workflow & Onboarding Validation

• Validate data ingestion, transformation, and reporting workflows for new client onboarding.
• Ensure smooth end-to-end flow from source ingestion to reporting/analytics.

4. Dashboard & Analytics Testing

• Verify that dashboards, KPIs, and analytics views reflect accurate, consistent, and up-to-date data.
• Collaborate with BI/reporting teams for UI/UX and data validation.

5. Security & Access Control Testing

• Test platform roles, permissions, and access controls for:

• Authorization accuracy

• Compliance and data governance requirements

• Role-based access across tools and datasets

6. Test Automation

• Design and maintain automated test suites for:

• Regression testing

• Functional and integration testing

• API and data pipeline verification

• Contribute to continuous testing pipelines within CI/CD environments.

Required Skills & Experience

• Strong experience in data platform testing, ETL validation, and pipeline quality assurance.
• Hands-on with Azure Synapse, Data Warehouse concepts, and medallion architecture.
• Proficiency in SQL for data validation and troubleshooting.
• Experience with API testing tools (Postman, RestAssured, etc.).
• Exposure to dashboard/reporting testing (Power BI, Tableau, etc.).
• Experience with automation frameworks (Selenium, pytest, Robot Framework, or similar).
• Strong analytical, debugging, and documentation skills.

Good to Have

• Experience with Azure DevOps pipelines.
• Familiarity with data security/compliance testing frameworks.
• Understanding of cloud-native data architectures.