About This Role

5 to 7 years of experience
Skills: ata platform testing, ETL validation, Azure Synaps

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

- Data pipelines and ETL workflows
- Backend APIs
- Frontend portals and reporting interfaces

2. ETL & Data Integrity Validation

- 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

- Authorization accuracy
- Compliance and data governance requirements
- Role-based access across tools and datasets

6. Test Automation

- Regression testing
- Functional and integration testing
- API and data pipeline verification
- Contribute to continuous testing pipelines within CI/CD environments.

Required Skills & Experience

- Robust 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.

📌 QA Automation - Data Platforms (India)
🏢 Bounteous
📍 India