Summary from listing
Capgemini is hiring a full-stack data engineer to design, build, and deploy data pipelines, ETL/ETL workflows, and AI/ML data solutions; support model development and productionization; develop data-centric APIs and microservices; and implement data architectures for AI workloads. The role requires a bachelor's degree or equivalent in a technology-related field, 5 to 9 years of full-stack engineering experience, strong Python and SQL skills, and experience with cloud-based data platforms including AWS, Microsoft Azure, and Snowflake. The base compensation range is 75,000 to 96,900, with medical, dental, and vision coverage available in the United States and Canada.
