Job Summary
Key Responsibilities
2. Create and execute automated test scripts for etl processes and data warehouse systems.
3. Collaborate within team to identify automation testing needs and requirements.
4. Perform functional, regression, and performance testing in cloud environments.
5. Troubleshoot automation test failures and identify root causes for timely resolution.
6. Maintain and enhance automated test frameworks and tools for efficient test execution.
7. Document test results, track defects, and provide regular status updates to stakeholders.
Skill Requirements
Must-Have Skills
- ETL Testing
- Source-to-Target Validation
- Data Reconciliation
- Data Quality Testing
- End-to-End Testing
- Experience in ETL Testing and large-scale data pipeline validation
Good-to-Have Skills
- PySpark / SQL
- Python (Scripting) – Automation and Data Processing
- Test Automation
- Automated Testing Frameworks
- Regression Testing
- Data Validation Automation
- Test Case Development and Execution
- Knowledge of cloud services such as AWS or Google Cloud
- Experience with CI/CD pipelines and automated test execution
- Familiarity with Git and version control practices
- Experience working in Agile/Scrum delivery environments
- Exposure to Financial Services/Banking domain data processing and testing
- Exposure to Agentic AI