Embark on a transformative career at Capgemini, a global leader in business and technology services. We empower our colleagues to sculpt their professional journeys within a supportive, collaborative international community. Join us to reimagine possibilities and help leading organizations leverage technology for a more sustainable and inclusive world.

This role focuses on ensuring the integrity and accuracy of data within complex enterprise applications. You will be instrumental in high-impact data transformation projects, utilizing modern cloud and analytics platforms.

Execute comprehensive testing for ETL, Data Warehouse, and Big Data environments. Validate intricate data mappings, transformations, and business logic from source to target.

Conduct thorough data quality, reconciliation, regression, and end-to-end testing procedures. Develop and run sophisticated SQL queries to facilitate data verification and in-depth analysis.

Collaborate closely with development teams, data engineers, and business stakeholders to guarantee the highest standards of data accuracy and reliability.

A minimum of 6 to 10 years of dedicated experience in ETL, Data Warehouse, or Big Data testing is essential. You should possess strong practical skills in SQL, PL/SQL, Joins, CTEs, and Window Functions.

Proficiency with technologies such as PySpark, Spark SQL, Hive, Hadoop, or Databricks is required. A solid understanding of data validation, reconciliation, and data quality testing methodologies is crucial.

Experience in automating data testing processes and managing the defect lifecycle will be highly beneficial. This permanent position offers end-to-end ownership of critical data quality initiatives.