Embark on a transformative career journey with Capgemini, a global leader in technology and business transformation. We empower our colleagues to shape their professional paths within a supportive, collaborative international community. Join us to help the world's leading organizations harness the power of technology, building a more sustainable and inclusive future.

Capgemini is an AI-powered partner, renowned for delivering tangible business value. With a nearly 60-year heritage, we are a diverse group of 420,000 professionals across over 50 countries. Our expertise spans strategy, technology, design, engineering, and business operations, enabling us to provide end-to-end solutions through a strong industry and partner ecosystem.

Discover a place where you can work on cutting-edge tech and engineering projects alongside industry leaders, or develop solutions addressing critical societal and environmental challenges. Your career growth is prioritized, with diverse paths, internal opportunities, and personalized guidance from our leadership.

Develop and implement advanced Data Science and Data Analytics solutions leveraging Python, PySpark, and SQL.

Construct and optimize scalable ETL and data processing pipelines designed for large datasets.

Conduct comprehensive data analysis, transformation, feature engineering, and statistical analysis to derive actionable business insights.

Design and deploy robust data solutions utilizing Azure/Microsoft Services, AWS, Azure, or GCP.

Implement efficient CI/CD pipelines and collaborate closely with engineering and business teams to ensure the delivery of reliable data solutions.

Possess strong hands-on expertise in Python, PySpark, SQL, Data Science, and Data Analysis.

Demonstrate good experience in developing and maintaining efficient ETL/data integration pipelines.

Showcase hands-on experience with Azure/Microsoft data services and cloud-based data solutions.

Maintain working knowledge of AWS, Azure, or Google Cloud (GCP) and their respective cloud data platforms.

Exhibit a solid understanding of CI/CD principles, data processing best practices, performance optimization techniques, and analytical problem-solving skills.