Senior Data Engineer
Summary
Design and build scalable data pipelines and GenAI platforms on AWS, using Spark and modern data architecture to support analytics, AI, and Generative AI use cases.
Overview
- Contribute to the design, development, and operation of IDEMIA's enterprise Data Platform and GenAI Platform on AWS
- Build scalable data products, industrialize data pipelines, and support the development of AI and Generative AI capabilities across the Group
- Design, develop, and maintain scalable batch and near real-time data pipelines
- Build and optimize ETL/ELT processes on AWS and Apache Spark
- Develop and maintain data products supporting Analytics, BI, Data Science, and GenAI use cases
- Contribute to the evolution of IDEMIA's Lakehouse architecture
- Ensure data quality, governance, lineage, security, and performance
- Participate in the development of the enterprise GenAI platform
- Collaborate with Data Scientists and AI Engineers to industrialize AI and GenAI solutions
- Contribute to CI/CD, Infrastructure-as-Code, observability, and DataOps best practices
Requirements
- Master's Degree (Engineering School or University)
- 5+ years of experience in Data Engineering
- Strong experience with AWS, Spark, and modern data platforms
- Solid software engineering mindset and DataOps practices
- Interest in AI and Generative AI technologies
- Fluent English required
- Nice to Have: Experience with Kafka or streaming architectures
- Knowledge of Data Mesh and Data Products
- Experience with MLOps or GenAI platforms
- Exposure to enterprise AI solutions on AWS