Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations

Your Role

- Develop and implement Data Science and Data Analytics solutions using Python, PySpark, and SQL.
- Build and optimize scalable ETL and data processing pipelines for large datasets.
- Perform data analysis, transformation, feature engineering, and statistical analysis to generate business insights.
- Design and deploy data solutions using Azure/Microsoft Services, AWS, Azure, or GCP.




- Implement CI/CD pipelines and collaborate with engineering and business teams to deliver reliable data solutions.

Your Profile

- Strong hands-on experience in Python, PySpark, SQL, Data Science, and Data Analysis.
- Good experience in developing and maintaining ETL/data integration pipelines.
- Hands-on experience with Azure/Microsoft data services and cloud-based data solutions.
- Working knowledge of AWS, Azure, or Google Cloud (GCP) and cloud data platforms.
- Positive understanding of CI/CD, data processing, performance optimization, and analytical problem-solving.

What you will love about working here

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📌 Senior Data Scientist Engineer (Bengaluru)
🏢 Capgemini
📍 Bengaluru