Consultant Data Engineer

📋 Description

• Design and implement Cloud Services at GCP, AWS, and Azure, including architecture choices, storage
• Use Docker and Kubernetes for containerization and orchestration of applications, managing K8s
• Develop server-side tools using Python, including bulk data processing, REST API server
• Manage CI/CD for integration and deployment of applications and internal platforms, supporting
• Develop ETL scripts in Big Data environments for data pipelines
• Implement solutions for Machine Learning infrastructures and services, supporting Data Scientists

🎯 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
• Familiarity with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB)
• Familiarity with at least one cloud services platform (GCP, AWS, Azure) with experience mixing
• Comfortable using Docker and automating CI/CD pipelines; strong appetite for gaining competence in