Sr. Data Science Engineer

Your Role

• Design and maintain scalable data pipelines and architectures.
• Integrate structured, semi-structured, and unstructured data from multiple sources.
• Collaborate with data scientists to deploy and optimize ML models in production.
• Implement CI/CD pipelines for machine learning workflows.
• Ensure data quality, integrity, and compliance with security standards.
• Develop automated data validation and cleansing processes.
• Mentor junior engineers and promote best practices in data engineering and ML Ops.
• Stay updated on big data, cloud, and AI technologies.

Your Profile

• 5+ years in data engineering or data science roles.
• Strong programming in Python, SQL, and experience with Spark/Hadoop.
• Proficiency in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Experience with ETL tools, data warehousing, and stream processing.
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Understanding of model lifecycle management and ML Ops.

What you'll love about working here

• You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
• You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
• You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.