Data Engineer industrializing scalable AI solutions and developing data pipelines for clients and internal projects. Collaborating with teams and participating in ML Ops advancements.
Responsibilities
Participate in the design and optimization of applications and architectures that process large volumes of data and meet users’/clients’ needs
Contribute to the leadership and management of an experienced team of data engineers
Continuously improve your skills and seek to enhance the tools and methods used (technology watch, R&D, sharing best practices, hackathons)
Take part in code reviews with your team members, challenge implementations, share your expertise, and help develop junior Illuiners around you
Participate in ceremonies and sprint reviews in direct connection with the client and our product teams
Contribute to the evolution of our ML Ops technical stack
Support the growth of our Data Engineering division by occasionally assisting the sales team with your technical expertise
Participate in the development of cross-functional internal projects: research, operations, security, training, etc.
Requirements
Advanced knowledge of at least one programming language (Java / Kotlin / Scala / Python)
Advanced proficiency in SQL
Solid understanding of data processing solutions (queueing, streaming, batch processing, caching)
Good understanding of data storage solutions (SQL / NoSQL databases, data warehouse, data lake, data lakehouse)
Experience with Git and continuous integration tools
Experience with Docker
Benefits
You are committed and ready to give your best
You are curious, flexible, empathetic, and autonomous
You have a sense of sharing and teamwork
You share our values: trust, empowerment, excellence, innovation
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