Join our Technology & Transformation practice as a Manager, focusing on Quality Engineering for ETL pipelines and data platforms. This role is integral to helping companies leverage vast amounts of data, transforming it into actionable insights for informed decision-making. You'll work within a global network dedicated to strategic guidance and implementation services in business intelligence, data management, and advanced analytics.

We are seeking a seasoned Lead testing and quality assurance engineer with a minimum of 9 years of experience in ETL, data platforms, and cloud-based data engineering solutions. Your expertise will be crucial in driving test strategies, automation, and data validation initiatives.

Drive comprehensive test strategies and automation for ETL pipelines and data platforms. Ensure data integrity through robust validation and reconciliation processes. Engage with stakeholders to manage expectations and deliver high-quality data engineering solutions. Lead quality assurance efforts for cloud-based data engineering services. Implement and maintain test automation frameworks to enhance efficiency and coverage.

A Bachelor’s degree in Computer Science, Information Technology, or a related field is required. You must have 9+ years of proven experience in leading testing and quality assurance for ETL pipelines and data platforms. Essential skills include strong Python programming, extensive ETL/Data Warehouse testing, advanced SQL, and data validation expertise. Familiarity with ETL tools like Informatica, DataStage, Talend, or SSIS, and cloud data platforms such as Snowflake or Databricks is mandatory. Experience in test automation framework development, Agile methodologies, Jira, and CI/CD is also crucial.