Description

Key Responsibilities:

• QA Strategy & Leadership: Define, design, and implement comprehensive end-to-end testing strategies for data warehouses and data migration initiatives.
• Framework Development: Build and maintain automated data validation frameworks using Python (and PySpark) to check data quality at scale.
• Cloud Data Validation: Validate complex data ingestion, transformation, and aggregation logic flowing through AWS services (Glue, EMR, S3, Lambda, Redshift).
• Deep-Dive Analysis: Write complex SQL scripts to perform extensive source-to-target data reconciliation, mapping validation, and regression testing.
• Team Mentorship: Lead, mentor, and guide a high-performing team of QA engineers, establishing modern testing best practices in an Agile environment.

What We Are Looking For:

• Experience: 8+ years of core software testing experience, with at least 2–3 years in a technical Lead capacity.
• Data Expertise: Deep understanding of ETL/ELT architectures, data warehousing principles, and data lake frameworks.
• Tech Stack Mastery: Strong scripting skills in Python and advanced proficiency in SQL.
• AWS Capabilities: Hands-on experience working with and validating data inside the AWS ecosystem

Key Skills

Education

Any Graduate