Data Engineering

Purpose

This role defines and implements the best in class data architecture in line with IDEMIAs Data Strategy (services, tools, etc.).

Key Missions

Within the newly created Global Data Team, in charge of building and implementing the data strategy for IDEMIA.
We are currently looking for a Data Engineer, working closely with our Data Architects, Data Scientists and Data Engineers. Your daily life will be punctuated by :

• Daily work on AWS to develop new pipelines (Scala, Spark); ensuring their robustness and scalability
• Daily work on the whole data lifecycle (collect, design, industrialization) at the heart of our AWS infrastructures
• Implement a modern data platform architecture and ecosystem including data stores (operational systems, data lakes, data warehouses, data marts), ingress patterns (API, streaming, ETL/ELT), and egress patterns (analytics/decision tools, BI tools); in respect of data security, data governance and of DevOps mindsets.
• Constantly adapt our architecture and implement such concepts as traceability, transparency, scalability and measurability within a demanding project and technology environment
• Work with our Product and Business Analytics teams to implement the next generation of products roadmap features
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• Required Qualifications :
• Expertise in cloud environments & big data technologies – with corresponding certifications (AWS)
• Experience with cloud-native design patterns and technologies, such as microservices, synchronous and asynchronous communications, event driven architecture and event sourcing patterns
• Knowledgeable in front-to-back data lifecycle and be highly proficient in a broad range of data solutions
• Good self-presentation skills, very good English languages skills
• Ability to develop in different languages related to Data & Cloud (Scala, Python, Java)
• Business results and team oriented player

Profile & Other Information