Description

You will focus on data and automation testing within the insurance domain.

Responsibilities

• Test ETL flows and data pipelines within GCP environments.
• Validate data integrity across cloud ETL processes.
• Develop automation scripts using Python to support data testing.
• Ensure data accuracy for Claims and Underwriting workflows.

Required Skills

• 5+ years of professional experience in testing or data engineering.
• Hands-on experience with ETL flows and data pipelines.
• Experience with Cloud ETL data testing in GCP.
• Proficiency in Python for automation and data tasks.
• Domain expertise in Insurance, specifically Claims and Underwriting.
• Strong background in data and automation testing.
• Any Graduate degree.

Key Skills

Education

Any Graduate