Senior ETL Quality Assurance Engineer
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Role Overview
• Design and execute end-to-end data validation strategies for ETL/ELT pipelines.
• Validate data accuracy, completeness, and integrity across cloud data warehouses.
• Develop and optimize complex SQL queries for data validation and analysis.
• Perform functional, regression, and integration testing for data workflows.
• Collaborate with data engineers, analysts, and product teams to understand business rules and data transformations.
• Build and maintain automated test frameworks for data validation.
• Ensure adherence to data quality standards and governance policies.
• Identify defects, track issues, and ensure timely resolution.
• Mentor junior QA engineers and drive QA best practices.
Full Job Posting
Primary Skills
- Strong experience in Data QA / ETL Testing (6+ years preferred).
- Hands-on experience with modern cloud data warehouses, such as:
- Snowflake
- BigQuery
- Redshift
- Azure Synapse
- Microsoft Fabric
- Excellent SQL skills (must-have):
- Complex joins, window functions, aggregations
- Query optimization and performance tuning
- Experience testing ETL/ELT pipelines (e.g., using Airflow, DBT, Informatica, etc.).
- Strong understanding of:
- Data warehousing concepts (Star/Snowflake schemas)
- Data lakes and lakehouse architectures
- Experience with API and backend testing is a plus.
- Familiarity with test automation tools or scripting (Python preferred).
- Exposure to CI/CD pipelines and DevOps practices is desirable.
Job Description
- Design and execute end-to-end data validation strategies for ETL/ELT pipelines.
- Validate data accuracy, completeness, and integrity across cloud data warehouses.
- Develop and optimize complex SQL queries for data validation and analysis.
- Perform functional, regression, and integration testing for data workflows.
- Collaborate with data engineers, analysts, and product teams to understand business rules and data transformations.
- Build and maintain automated test frameworks for data validation.
- Ensure adherence to data quality standards and governance policies.
- Identify defects, track issues, and ensure timely resolution.
- Mentor junior QA engineers and drive QA best practices.
About Datavail Infotech Pvt. Ltd.
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