Description

Own quality assurance engineering for data and ETL pipelines by building automated testing frameworks in Python.

This role is hybrid.

Responsibilities

• Design and implement automated test suites using Pytest for ETL workflows.
• Validate data accuracy and transformation logic through rigorous SQL queries.
• Debug and resolve defects in data processing pipelines.
• Maintain and optimize existing Python-based testing infrastructure.

Required Skills

• 5-7+ years of experience in software testing with a focus on Data/ETL.
• Proficiency in Python programming for test automation.
• Hands-on experience with the Pytest Framework.
• Strong SQL skills for data validation and backend testing.
• Proven experience in ETL testing and data pipeline verification.

Preferred Skills

• Experience with data integrity monitoring tools.
• Familiarity with cloud-based data warehouse platforms.

Key Skills

Education

Any Graduate