Capgemini offers a dynamic environment where you can architect your career path, supported by a global network of colleagues. We empower you to innovate and collaborate to unlock the potential of technology, driving a more sustainable and inclusive world for leading organizations.

Join our team to contribute to transformative projects and help businesses harness the power of data.

Capgemini is a global leader in business and technology transformation, leveraging AI and cutting-edge technology. With a rich heritage and a diverse workforce across over 50 countries, we deliver comprehensive services and solutions through deep industry expertise and strong partnerships.

Develop and deploy advanced Data Science and Data Analytics solutions using Python, PySpark, and SQL. Construct and optimize robust ETL and data processing pipelines for extensive datasets. Conduct in-depth data analysis, transformation, and feature engineering to extract actionable business insights. Design and implement data solutions leveraging Azure/Microsoft Services, AWS, Azure, or GCP. Establish CI/CD pipelines and foster collaboration with engineering and business units to ensure the delivery of reliable data solutions.

Requires significant hands-on expertise in Python, PySpark, SQL, Data Science, and Data Analysis. Demonstrates strong experience in developing and maintaining efficient ETL/data integration pipelines. Possesses practical experience with Azure/Microsoft data services and cloud-based data solutions. Familiarity with AWS, Azure, or Google Cloud (GCP) and their respective data platforms is essential. A solid understanding of CI/CD principles, data processing methodologies, performance optimization techniques, and analytical problem-solving skills is expected.