Join Capgemini and be a pivotal force in designing and delivering robust data-driven solutions that drive business operations. This role emphasizes strong programming expertise and a passion for clean, scalable code, with Scala experience being a significant advantage for tackling complex data engineering challenges.

Capgemini is a global leader in business and technology transformation, powered by AI. We partner with leading organizations to unlock technology's value, building a more sustainable and inclusive world. With a nearly 60-year heritage, we are a diverse group of 420,000 professionals across over 50 countries, delivering end-to-end solutions leveraging our deep industry expertise.

Key responsibilities include designing and implementing CI/CD pipelines and build management strategies. You will also contribute to critical business, architectural, and technical decisions. The role involves the development and maintenance of SQL queries, analytical functions, and data models, alongside collaboration with cross-functional teams to address business and technical needs.

Experience with cloud platforms like AWS, Azure, or GCP is essential for this position.

A strong programming background in PySpark/Python is fundamental, with a minimum of 6 years of dedicated PySpark development experience. Experience with Scala is highly preferred and will offer a competitive edge. Familiarity with SQL and its analytical functions is also crucial for success in this role.