Senior Data Engineer (AWS)

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

• Experience in the role of a Data Engineer with the ability to independently deliver complex tasks.
• Practical experience working with cloudbased data pipelines.
• Knowledge of AWS Data & Analytics services.
• Strong proficiency in Python for ETL/ELT processing, automation, and data integration.
• Ability to work with large datasets, including data modeling and performance optimization.
• Experience with an additional cloud platform (Azure or GCP).
• Fluent English proficiency.

• Design, develop, and maintain data pipelines and ETL/ELT processes in AWS.
• Use AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, and other components of the AWS analytics ecosystem.
• Build and optimize distributed data processing workflows and large-scale data ingestion frameworks.
• Collaborate with solution architects and engineering teams to create scalable, reliable, and secure data solutions.
• Ensure data quality, consistency, governance, and compliance across cloud environments.
• Participate in code reviews and contribute to continuous improvement of engineering standards and practices.
• Create and maintain technical documentation related to data pipelines and architecture.