
Lead Data Science Engineer
at Capgemini
Posted 5 days ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Lead Data Science Engineer responsible for building and optimizing data-intensive software solutions. Demonstrates strong SQL skills, Python and PySpark, and understanding of data warehousing, ETL, and data modeling. Works with cloud platforms (AWS, Azure, or Google Cloud) and leverages Azure services (ADF, Databricks, Synapse, Functions); familiar with CI/CD and ML workflows. This role includes leadership responsibilities within software engineering teams to develop and maintain scalable data-driven solutions.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
Your Profiles
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com




