Data Engineering
7 days ago
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Since our founding, IDEMIA has been on a mission to unlock the world and make it safer through our cutting-edge identity technologies. Our technology leadership makes us the partner of choice for hundreds of governments and thousands of enterprises in over 180 countries, including some of the biggest and most influential brands in the world. In applying our unique expertise in biometrics and cryptography, we enable our clients to unlock simpler and safer ways to pay, connect, access, identify, travel and protect public places – at scale and in total security.
Our teams work from 5 continents and speak 100+ different languages. We strongly believe that our diversity is a key driver of innovation and performance.
PurposeWithin 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.
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 language 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, with an ability to work comfortably in a collaborative setting.
By choosing to work at IDEMIA, you will join a unique tech company, offering a wide range of growth opportunities. You will contribute to a safer world, collaborating with an international and global community. We value the diversity of our teams and welcome people from all walks of life, regardless of how they look, where they come from, who they love, or what they think.
We deliver cutting-edge, future-proof innovation that reaches the highest technological standards, and we're transforming fast to stay a leader in a world that's changing fast, too.
At IDEMIA, people can develop their expertise and feel a sense of ownership and empowerment, in a global environment, as part of a company with the ambition and the ability to change the world.
Visit our website to know more about the leader in Identity Technologies.
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