Data Scientist

**Data Architect / Data Scientist** **Location :\-** Chennai **Experience :\-** 6–9 Years **(Only Immediate Joiners)** 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. * Guide engineering teams on best practices for data architecture and technology selection. * Create architectural documentation including data flow diagrams and design artifacts. * Evaluate emerging technologies and optimize systems for performance, scalability, and cost. **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. * Strong analytical, problem\-solving, and communication skills. * Experience working with cross\-functional teams in agile environments. * Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field (Data Science / Information Systems / Data Architecture specialization preferred). **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 data **What 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. * Exposure to global clients and complex data transformation programs. **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.