Consultant Data Engineer

📋 Description

• Design and implement cloud architectures on GCP, AWS, and Azure, including storage, compute, cost
• Containerize and orchestrate applications using Docker and Kubernetes, managing clusters for Data
• Develop Python server-side tools (bulk data processing, REST API, authentication).
• Manage CI/CD pipelines for integration and deployment of applications and data science projects.
• Develop ETL scripts for data pipelines in Big Data environments.
• Evaluate and implement infrastructure and services for Machine Learning to support data scientists.

🎯 Requirements

• Master’s degree with strong quantitative component (e.g., Econometrics, Physics, Mathematics
• 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
• Good Python skills and solid foundation in other languages; familiarity with at least one SQL DBMS
• Familiarity with at least one cloud services platform (GCP, AWS, Azure) or strong appetite to learn.
• Comfortable with Docker and automating CI/CD pipelines; strong appetite for Kubernetes.
• DevOps culture, responsibility for code lifecycle (Gitlab-CE ecosystem plus), familiar with