Data Engineer
Overview
The Data Engineer will be responsible for designing and developing the data infrastructure for several of the company's clients to contribute to the success of their AI projects.
Responsibilities
- Design the architecture and map the data flows tailored to each client
- Create high-quality, reliable, and high-performance data pipelines
- Promote automation in the creation, configuration, and evolution of IaC and CI/CD
- Integrate various quality controls into deployments and data monitoring
- Promote best practices in DevOps and MLOps
- Work at the heart of a team of AI Developers, Data Scientists, and Project Managers, in constantly evolving environments primarily on Python, SQL, Git, Docker, Spark, NoSQL, Blob, AWS/GCP/Azure
Qualifications
- 5+ years of experience as a Data Engineer
- Professional experience in data pipelines for AI solutions
- Mastery of best practices in Infrastructure-as-Code and CI/CD
- Comfortable in an Agile and Scrum environment, with a collaborative spirit and rigor
- Experience and/or strong interest in multi-project mode and consulting services
- Strong ability to explain technical concepts clearly to less technically oriented clients
- Certification in Cloud, Databricks, Snowflake, or similar
- Bachelor's degree in Computer Science or equivalent
- Bilingualism required (French and English)