ETL Data Automation Testing

Role & responsibilities

Job Description: • Manage and execute data quality automation to ensure accuracy and consistency of ETL processes • Experienced in ETL testing and data validation across complex data transformation pipelines, covering end-to-end validation from Landing Layer, Base Layer, Integration Layer, and Legacy Datamart systems • Proficient in Python automation to automate source-to-target validation, schema checks, regression testing, audit log verification, and test reporting • Strong expertise in Snowflake data validation, pipeline testing, error handling verification, load frequency validation, and observability dashboard validation • Identify, document, and resolve data discrepancies and issues during ETL testing cycles • Design and execute test cases to validate data transformations and business logic • Collaborate with data engineers and developers to understand data flows and ETL requirements. • Conduct data setup activities necessary for comprehensive testing scenarios. • Perform data profiling to assess data quality, completeness, and integrity before and after ETL. • Develop and maintain automated test scripts and frameworks for ETL validation. • Generate detailed test reports and communicate findings to stakeholders. • Mentor junior testers and contribute to continuous improvement of testing processes .

Mandatory skills: ETL,Python and SQL

If your profile matches the above JD, pls share the below enclosed details to [email removed]

Total IT exp:

Rel Exp in ETL, Python and SQL:

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