ETL Test Automation
2 days ago
Job Description: ETL Test Automation - Senior Test Engineer
We are looking for a highly skilled and experienced ETL Test Automation as a Senior Test Engineer.
Technical Expertise
- Experience should have 3 to 5 years into ETL testing.
- Strong expertise in SQL (writing complex queries, joins, aggregations).
- Hands-on experience in testing ETL processes (Informatica, Talend, SSIS, DataStage, or similar).
- Experience with data warehouses, data marts, and reporting validation.
- Good understanding of data quality, data reconciliation, and transformation rules.
- Familiarity with BI/reporting tools (Power BI, Tableau, Qlik, etc.) for report validation.
- Strong analytical, problem-solving, and communication skills.
- Experience with test automation frameworks for ETL testing (e.g., Python, PyTest, Selenium for BI validation).
- Knowledge of Agile/Scrum methodology and defect management tools (JIRA, Azure DevOps).
- Basic scripting knowledge (Python, Shell, or similar) for automation and data manipulation.
- Understanding on the SDLC.
- Understanding on the Agile methodologies.
- Communication with customer and producing the Daily status report.
- Should have good oral and written communication.
- Should be a good team player.
- Should be proactive and adaptive.
Key Responsibilities
- Understand business and data requirements to design ETL and reporting test strategies.
- Develop, maintain, and execute test cases, test scenarios, and SQL queries for validating ETL processes.
- Perform data validation, reconciliation, and transformation testing between source and target systems.
- Verify reporting accuracy across BI tools (e.g., Power BI, Tableau, or other reporting platforms).
- Automate regression testing for ETL jobs and reporting workflows where feasible.
- Work closely with developers, data engineers, and BI teams to troubleshoot and resolve defects.
- Document defects, prepare test summary reports, and ensure traceability to requirements.
- Participate in UAT cycles, support production validation, and ensure data integrity.
- Ensure adherence to QA processes, standards, and best practices.
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