Senior Data Engineer

2 settimane fa

Bologna, Emilia-Romagna, Italia Crif S.P.A. A tempo pieno

Job Summary

Crif S.P.A. is seeking a highly skilled Senior Data Engineer to join our Advanced Analytics Global Business Line. As a key member of our team, you will play a crucial role in extracting measurable value from data, operating at the intersection of data science, technology, and business expertise.

About the Role

The ideal candidate will have a strong background in data engineering, with expertise in designing laboratory and production environments, data collection and preparation activities, and releasing data science models in production environments. You will work closely with our data science team to develop innovative data pipelines and APIs, and collaborate with business stakeholders to drive business impact.

Responsibilities

  • Design and implement data pipelines and APIs to support business needs
  • Collaborate with data scientists to develop and deploy data science models
  • Work with business stakeholders to understand their data needs and develop solutions
  • Develop and maintain high-quality, scalable, and secure data engineering solutions
  • Lead projects and teams to deliver business outcomes

Requirements

  • Master's degree in statistics, math, physics, or computer science
  • Robust knowledge of machine learning and data engineering principles
  • Excellent programming skills in Python, with experience in object-oriented programming
  • Strong understanding of Linux distributions and containerization
  • Experience with data modeling, database design, and data warehousing
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Familiarity with databases (SQL/NoSQL) and data modeling
  • Experience with web frameworks based on Python
  • Knowledge of version control tools (git) and Docker

About Crif S.P.A.

Crif S.P.A. is a leading provider of credit risk management and business intelligence solutions. We are committed to helping our clients make informed decisions and drive business growth through data-driven insights.

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