Data Platform QA

Bounteous; Gurugram District, Chennai District, Bengaluru; On-site; INR 1,004,000 - 1,674,000; Full time

Job summary

Bounteous is seeking an experienced QA Engineer with strong expertise in testing data platforms. The ideal candidate will validate 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.

Qualifications

• Experience in data platform testing and ETL validation.
• Hands-on with Azure Synapse, data warehousing concepts and medallion architecture.
• Proficient in SQL for data validation and troubleshooting.
• Experience with API testing tools and dashboard testing.

Responsibilities

• Develop and execute test plans for data pipelines, ETL workflows, APIs.
• Validate dashboards and analytics views for accuracy.
• Test security, access controls and data governance requirements.
• Contribute to CI/CD automated testing pipelines.
• Collaborate with BI teams on UI/UX data validation.

Skills

Data platform testing

ETL validation

SQL for data validation

API testing tools

Automation frameworks

CI/CD testing

Analytical skills

Tools

Azure Synapse

Power BI

Tableau

Postman

RestAssured

Selenium

Robot Framework

pytest

Job description

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.