Data Engineer Consultant

📋 Description

• Work on various client projects and build Sia AI solutions
• Utilize Cloud Services at GCP, AWS, and Azure for architecture choices, storage and compute, cost
• Handle Docker and Kubernetes for containerization and orchestration of applications, and manage K8s
• Develop Python server-side tools including bulk data processing, REST API servers, and
• Manage CI/CD for integration and deployment of applications and platforms, and support deployment
• Develop ETL scripts for data pipelines in Big Data environments

🎯 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
• Familiarity with at least one cloud services platform (GCP, AWS, Azure) and experience mixing
• Comfortable with Docker, automating CI/CD pipelines, and strong appetite for learning Kubernetes if
• Ability to work in a DevOps culture, taking responsibility for the code lifecycle; familiarity with