Designs and executes ETL, data validation, functional, regression, and integration tests. Validates extraction, transformation, loading, data reconciliation, and source-to-target mappings using SQL. Identifies and reports data quality defects while collaborating with data engineers, developers, and business teams. Requires ETL/data testing, database testing, data warehouse knowledge, defect tracking, and QA process experience. Familiarity with Databricks, Python, PySpark, cloud platforms, Snowflake, and test automation is preferred.
QA & Data – ETL Test Engineer
Experience: 4–8 Years
Job SummaryWe are looking for an experienced ETL Test Engineer with strong experience in data testing, ETL validation, and database testing.
Key Responsibilities- Design and execute ETL and data validation test cases.
- Validate data extraction, transformation, and loading processes.
- Perform data reconciliation and source-to-target validation.
- Write and execute SQL queries for data validation.
- Identify, analyze, and report data quality issues and defects.
- Work closely with Data Engineers, Developers, and Business teams.
- Participate in functional, regression, and integration testing.
- Strong experience in ETL/Data Testing.
- Strong SQL skills.
- Experience with ETL tools and data pipelines.
- Good understanding of Data Warehouse concepts.
- Experience in source-to-target mapping and data validation.
- Good knowledge of defect tracking and QA processes.
- Experience with Databricks.
- Knowledge of PySpark/Python.
- Experience with Azure/AWS/GCP.
- Knowledge of Snowflake or other cloud data platforms.
- Experience with automation testing.
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