Data Engineer

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.

Job Description

• Programming:

Advance Python, SQL OR JavaScript’s/ React/Angular

Data Engineering: Data Modeling, ETL/ELT, Data Architecture

Big Data & Streaming: Apache Spark, Spark Streaming, Kafka

• Cloud Platforms:

AWS (S3, Glue, Lambda, SageMaker), Data Lake

AI/ML: Machine Learning, Deep Learning, Predictive Analytics, Statistical Modeling

GenAI: LLMs, Prompt Engineering, RAG, AI Agents, Agentic AI

• Database Technologies:

Relational Databases, Graph Databases, Vector Databases

• Data Integration:

APIs, Data Pipelines, Batch & Real-Time Data Processing

• Data Governance:

Data Quality, Metadata Management, Lineage, Data Governance

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.