Description

Develop test automation utilities for data reconciliation and validation, managing ETL testing processes across on-prem and cloud data sources.

This role is on-site.

Responsibilities

• Execute complex SQL queries to validate data integrity.
• Manage AWS resources including Glue, EC2, and Lambda.
• Navigate the full testing life cycle for large-scale data environments.
• Develop automation utilities for data reconciliation using Python data science libraries.

Required Skills

• 10+ years of experience in the testing life cycle.
• 10+ years of experience in ETL testing for on-prem and cloud data sources.
• 10+ years of experience developing test automation utilities for data reconciliation.
• 5+ years of hands-on Python programming experience.
• 8+ years of experience managing AWS Glue, EC2, and Lambda.
• Proficiency in Pandas, NumPy, and PySpark.
• Hands-on experience with Big Data technologies.
• Proficiency in writing complex SQL queries.

Preferred Skills

• QE (Quality Engineering) experience.

Key Skills

Education

Any Graduate