Data Scientist

Job Description Data Architect / Data Scientist Location :- Chennai Experience :- 6–9 Years Choosing Capgemini means choosing a place where you'll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what's possible. Join us in designing next-generation data platforms that enable advanced analytics, machine learning, and real-time decision-making for global enterprises. Your Role As a Data Architect / Data Scientist, you will be responsible for designing scalable, secure, and high-performance data platforms. You will work closely with engineering teams and business stakeholders to build modern data ecosystems that support analytics, AI/ML initiatives, and real-time data processing. In this role, you will: • Design end-to-end data architectures across cloud and hybrid environments. • Build scalable data pipelines, data lakes, and modern data platforms. • Architect ingestion frameworks for IoT and sensor data, particularly for Digital Twin platforms. • Develop and optimize data models for structured, semi-structured, and unstructured data. • Implement real-time data ingestion using streaming and messaging frameworks. • Collaborate with cross-functional teams to align data strategies with business goals. • Define and enforce data governance, security, quality, and compliance standards.Your Profile • 6–9 years of progressive experience in data engineering and data architecture. • Strong experience designing scalable and secure data platforms. • Hands-on expertise with AWS data services and modern data platforms.Core Skills & Expertise • Cloud Expertise: AWS (Kinesis, EMR, Glue, RDS, Athena, Redshift, Lambda, S3) • Data Platform Design: Snowflake, scalable data pipelines, data lake architectures • Digital Twin Integration: IoT data ingestion, sensor data modeling, real-time systems • Data Modeling: Conceptual, logical, and physical modeling across data types • Programming & Querying: Python, PySpark, Advanced SQL • Big Data Ecosystem: Hadoop, Spark, Kafka • Database Management: SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, Cassandra • Data Governance & Quality: Lineage, metadata management, quality frameworks • DevOps & CI/CD: Deployment automation and pipeline management for data platforms • Streaming & Queuing: Real-time ingestion architectures • Time Series Data: Design for ingestion, storage, and analysis of time-based dataWhat You'll Love About Working Here • Opportunity to work on cutting-edge data platforms and AI-driven solutions. • Collaborative and innovative work culture. • Continuous learning opportunities in cloud and data technologies.About Us Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and data transformation journeys. With strong expertise in cloud, data, AI, and engineering, Capgemini delivers end-to-end services that empower enterprises to innovate and scale efficiently. At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.