Etl Qa Engineer

Summary

Join our team as an ETL QA Engineer and contribute to the success of our data pipelines. This full-time, remote position requires 5+ years of experience. You will develop and execute test cases, perform data quality checks, and conduct various types of testing across different environments. Automation of testing is a key responsibility. Strong ETL pipeline testing experience, particularly on Databricks and BigQuery, is essential. Proficiency in Python and SQL is also required.

Requirements

• Have strong experience in testing ETL pipelines, particularly on Databricks and BigQuery
• Be familiar with data validation frameworks and automated testing tools
• Be proficient in Python/SQL for creating test scripts
• Have knowledge of GCP services and pipeline orchestration workflows

Responsibilities

• Develop and execute test cases to validate data pipelines and transformations
• Perform data quality checks to ensure accuracy and completeness of migrated data
• Conduct regression, performance, and UAT testing across Dev, UAT, and Prod environments
• Automate testing for pipeline functionality and data integrity