Within the newly created Global Data Team, in charge of building and implementing the data strategy for IDEMIA.We are currently looking for a Power BI Data Engineer, working closely with our Data Architects, Data Scientists and Data Engineers.
Key MissionsYour 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
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
Education in Computer Science, Data Engineering or any other related field.
Experience: must have at least 2 years working experience in a Data Engineer position within a fast-paced and complex business setting.
Excellent Communication and vulgarization Skills, able to work with different countries and engineers throughout the organization. Results-driven individual, highly passionate, have an ability to work comfortably in a collaborative setting.
Language skills: English,
Within the newly created Global Data Team, in charge of building and implementing the data strategy for IDEMIA.We are currently looking for a Power BI Data Engineer, working closely with our Data Architects, Data Scientists and Data Engineers.
Key MissionsYour 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
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
Education in Computer Science, Data Engineering or any other related field.
Experience: must have at least 2 years working experience in a Data Engineer position within a fast-paced and complex business setting.
Excellent Communication and vulgarization Skills, able to work with different countries and engineers throughout the organization. Results-driven individual, highly passionate, have an ability to work comfortably in a collaborative setting.
Language skills: English,