Key Responsibilities
- Design, develop, and execute comprehensive test plans, test cases, and test scripts for ETL / ELT data pipelines.
- Validate large volumes of data in data warehouses with a strong focus on Snowflake environments.
- Perform end-to-end data validation, source-to-target data mapping, and regression testing.
- Identify, report, and track data quality issues, collaborating closely with data engineers and analysts to ensure timely resolution.
- Automate data quality tests where applicable using SQL and QA automation frameworks.
- Conduct root cause analysis of issues in ETL processes and provide actionable recommendations.
- Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
- Provide QA sign-off for data pipeline releases and ensure delivery meets functional and non-functional requirements
Required Qualifications
Minimum 5 years of experience in Quality Assurance with a focus on data testing.Strong experience in ETL / ELT testing and data warehousing concepts.Proficiency in Snowflake and SQL for data validation and analysis.Experience with test management tools and defect tracking systems.Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Skills Required
Test Management Tools, snowflake , Data Warehousing, Sql, Etl, ELT