Data Engineer
Summary
Designs and builds scalable data pipelines and infrastructure for AI projects, using Python, SQL, Spark, and cloud platforms like AWS/GCP/Azure.
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)