Join Capgemini as an AWS Data Engineer and play a pivotal role in shaping scalable data solutions on Amazon Web Services. You will collaborate with data scientists, analysts, and business leaders to empower data-driven decisions through robust, secure, and high-performance data pipelines. This permanent position offers a chance to work on cutting-edge projects and make a real impact.

This role is ideal for experienced professionals seeking to advance their careers within the Capgemini group. You'll benefit from personalized career guidance and a comprehensive wellness program, including health checks, telemedicine, insurance, and support for various life stages. Contribute to innovative tech and engineering solutions that address societal and environmental challenges.

Design and implement scalable data architectures utilizing AWS services. Build and maintain end-to-end data pipelines for both batch and streaming data. Ensure data quality, integrity, and security across all data platforms. Optimize data storage and processing for enhanced performance and cost efficiency. Collaborate with cross-functional teams to understand and fulfill data requirements. Support analytics, reporting, and machine learning initiatives with well-structured datasets. Monitor, troubleshoot, and enhance existing data workflows and systems.

Proven experience in designing, building, and maintaining data solutions on AWS. Strong proficiency with AWS data services like S3, Glue, Redshift, Athena, Lambda, and EMR. Hands-on experience with ETL/ELT pipelines using Python, Spark, or SQL. Solid understanding of relational and NoSQL databases, data modeling, and data warehousing concepts. Familiarity with big data frameworks and streaming technologies such as Spark, Kafka, or Kinesis. Knowledge of DevOps practices, including CI/CD, Infrastructure as Code (Terraform/CloudFormation), and monitoring tools is advantageous. Excellent collaboration and communication skills to translate business needs into technical solutions.