Senior Full-Stack Engineer, AI/ML Data Pipelines
Capgemini
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Job summary
Capgemini in New York is seeking a data-focused engineer with 5–9 years in full-stack engineering to design and deploy data pipelines, ETL/ELT workflows and AIML solutions, including model development support and productionization. You will design and consume data-centric APIs and microservices for AIML integration on a multi-developer Agile team.
You will leverage Python and SQL, work with AWS and Azure cloud platforms, and Snowflake data warehousing to build scalable architectures for AI
Qualifications
- Bachelor's degree in a technology-related field required.
- 5–9 years of full stack engineering experience.
- Proven data pipelines/ETL/ELT and AIML solution experience.
- Experience with data-centric APIs and microservices for AIML.
- Designing data architectures for AIML workloads and pipelines.
- Strong Python and SQL skills in data engineering.
- Experience with AWS/Azure and Snowflake data warehousing.
- Collaborative, multi-developer Agile, DevOps practices.
- Strong analytical and problem-solving abilities; quick learner.
Skills
Education
Tools
Job description
Capgemini in New York is seeking a data-focused engineer with 5–9 years in full-stack engineering to design and deploy data pipelines, ETL/ELT workflows and AIML solutions, including model development support and productionization. You will design and consume data-centric APIs and microservices for AIML integration on a multi-developer Agile team.
You will leverage Python and SQL, work with AWS and Azure cloud platforms, and Snowflake data warehousing to build scalable architectures for AI
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