ETL Tester
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Key skills for this role
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.
Key Skills for This Role
Full Job Posting
Title: Senior ETL Tester
Location: Mumbai/Hyderabad/Bengaluru
Exp: 8+ Years
Remote
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
Provides managed services for databases and enterprise cloud applications.
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