Consultant Data Engineer

📋 Description

• Design and implement cloud services at GCP, AWS and Azure: architecture choices, use of storage and
• Containerize and orchestrate applications with Docker and Kubernetes, managing K8s clusters adapted
• Develop server-side tools in Python (bulk data processing, REST API server, authentication, etc.)
• Manage CI/CD processes for integration and ongoing deployment of applications and internal
• Develop data pipelines, including ETL scripts in Big Data environments
• Build and maintain infrastructures and services adapted to Machine Learning, including technology

🎯 Requirements

• Master’s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics
• 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering
• Good level in Python and solid foundation in other languages
• Familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB)
• Ideally familiar with at least one cloud services platform (GCP, AWS, Azure) and experience mixing
• Comfortable using Docker, automating CI/CD pipelines and having a strong appetite for gaining