Join a leading Technology & Transformation practice focused on unlocking the value within vast datasets. This role is integral to our Engineering practice, providing strategic guidance and implementation services for data management and actionable insights. We tackle business intelligence, data management, performance management, and next-generation analytics including big data, cloud, and machine learning.

This is an opportunity to work on cutting-edge data solutions and contribute to data-driven decision-making for clients.

Develop and maintain robust automation frameworks for ETL testing. Analyze complex requirements to identify optimal test scenarios for automation. Design, implement, and execute automated tests within CI/CD pipelines. Collaborate closely with product, development, and QA teams to ensure high-quality product delivery. Identify, report, track, and validate defects throughout the software development lifecycle. Contribute to test planning, estimation, and the overall automation strategy.

A seasoned Senior QA ETL Automation Engineer with proven expertise in automation testing using Python frameworks is sought. Key requirements include hands-on experience with modern ETL tools like PySpark and Apache Airflow, strong programming skills, and deep knowledge of databases and CI/CD pipelines. Proficiency in Python and complex SQL query optimization is essential, alongside experience with cloud platforms such as Azure and Databricks. Solid experience in validating data flows and ensuring data integrity across multiple systems is expected.