Key skills
ApacheAWSETLKafkaSparkAIGenerative AIGenAIMLOpsELTData EngineeringAnalyticsBIApache SparkCI/CD
About this role
Role 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
Tech Stack
- Apache
- AWS
- ETL
- Kafka
- Spark
Benefits
- Inclusive environment
- Professional development opportunities
- Accommodation during the recruitment process