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QA Data Engineer
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- Develop and implement comprehensive test plans and strategies for data engineering projects, focusing on ETL jobs, SQL queries, and stored procedures.
- Ensure thorough coverage of data pipelines, transformations, and Snowflake target validation through investigations, pipeline results, feedback logs, etc.
- Conduct performance testing to assess and optimize the speed, scalability, and efficiency of ETL processes, SQL queries, and Snowflake target loading.
- Develop and maintain automated testing scripts and frameworks, with a focus on ETL job automation, SQL query validation, and Snowflake target validation, using scripting languages (e.g., Python, Ruby) and tools such as Cypress.
- Ensure strict adherence to QA standards, best practices, and methodologies, particularly in ETL processes, SQL queries, and Snowflake data loading processes.
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