Description

You define and implement end-to-end testing strategies for data warehouses and migration initiatives, leading a team of QA engineers.

This role is on-site.

Responsibilities

• Define and execute comprehensive testing strategies for data warehousing and migration projects.
• Build and maintain automated data validation frameworks using Python and PySpark.
• Validate complex data ingestion, transformation, and aggregation logic within the AWS ecosystem.
• Write advanced SQL scripts for source-to-target reconciliation and regression testing.
• Mentor QA engineers and establish modern testing best practices in an Agile environment.

Required Skills

• 8+ years of core software testing experience.
• 2–3 years in a technical lead or mentorship capacity.
• Deep understanding of ETL/ELT architectures and data warehousing principles.
• Hands-on experience with Data Lake frameworks.
• Strong scripting skills in Python.
• Advanced proficiency in SQL.
• Proven experience validating data within AWS services (Glue, EMR, S3, Lambda, Redshift).

Key Skills

Education

Any Graduate