Description

You will lead automation efforts for ETL testing processes and ensure end-to-end data pipeline integrity.

Responsibilities

• Design and execute automation frameworks for ETL testing.
• Manage data validation processes within AWS environments.
• Develop automated test scripts using Python and PySpark.
• Oversee end-to-end data pipeline testing integrity.
• Maintain and evolve automation frameworks for large-scale data processing.

Required Skills

• 10+ years of experience in data testing or quality engineering.
• Strong expertise in ETL testing methodologies.
• Proficiency in Python for test automation.
• Hands-on experience with PySpark for large-scale data processing.
• Experience working within AWS cloud environments.
• Proven ability to build and maintain automation frameworks.

Preferred Skills

• Any graduate degree.

Key Skills

Education

Any Graduate