Data Engineer, Back-End Architect
Summary
Designs and builds scalable data pipelines and back-end architectures to support AI-driven hiring tools, using Python, SQL, and cloud services like AWS/GCP.
Responsibilities
- Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust architectures and data models
- Enhance business processes by proficiently managing the lifecycle of data and AI models
- Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines, utilizing advanced object-oriented programming languages and modern web frameworks
- Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions
- Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward
Requirements
- Master’s Degree in Computer Science, Computer Engineering, Data Engineering or a closely related field.
- 5-10 years working experience in Back-End Architectures and Data Engineering.
- Knowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia, C++).
- Experience with DataOps practices, contributing to the continuous improvement of data workflows.
- Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks.
- Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management.
- Proficient understanding of both SQL and NoSQL database technologies.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Fluency in Italian and English, written and spoken.
- Excellent communication skills.
- Willingness to travel internationally for business needs.
Certifications & Qualifications
- Master’s Degree in Computer Science
- Master’s Degree in Computer Engineering
- Master’s Degree in Data Engineering