Description

You will validate data integrity and automate testing for end-to-end data pipelines.

This role is hybrid.

Responsibilities

• Validate data integrity and accuracy during migrations and pipeline workflows.
• Automate ETL testing processes to verify end-to-end data flow.
• Implement CI/CD practices for continuous testing and deployment of data pipelines.
• Develop testing frameworks to support data regression testing.
• Write complex SQL queries for debugging and data retrieval.

Required Skills

• 5+ years of experience in ETL testing and data pipelines.
• Proficiency in Python and SQL.
• Hands-on experience with AWS for workflow automation.
• Strong background in automation testing and test case development.
• Experience with database testing and data migration.
• Knowledge of DevOps practices, including Docker and Kubernetes.
• Experience with API testing and testing frameworks.
• Any Graduate degree.

Key Skills

Education

Any Graduate