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 current 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.

📌 Data Platform QA (Bengaluru)
🏢 Bounteous
📍 Bengaluru