Data Engineer

4 settimane fa


Bari, Puglia, Italia Pirelli A tempo pieno

About Pirelli

We are a global leader in the tire industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on our cutting-edge technology and commitment to sustainability.

Innovation at Pirelli

Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. We believe that power is nothing without our people.

Pirelli Digital Solutions Center

In 2022, Pirelli opened the Pirelli Digital Solutions Center in Bari, a development center entirely focused on digital innovation. The center is involved in the development of software and algorithms destined for the most advanced processes of planning, manufacturing, and marketing of the group's tires throughout the world.

Key Projects

Among the key projects being developed at the Pirelli Digital Solutions Center, there is the further strengthening of the Big Data platform for the collection, transformation, and analysis of all the data from the company's various ecosystems. This instrument enables the processing of algorithms to speed up product development times, further improve its quality, maximize machine efficiency, optimize commercial effectiveness, and create new digital services.

Job Description

The Data Engineer will be responsible for supporting the architecting, implementation, and optimization of data-driven solutions as part of the enablers that change how decisions are made across all business units.

Key Responsibilities

  • Design and implement efficient data pipelines and architectures.
  • Support data science solutions end-to-end from concept to production.
  • Build and manage cloud infrastructure architectures targeted to host data-driven solutions.
  • Data ingestion, transformation, and export pipelines, data storage management.
  • Prototype-to-product refactoring and optimization following development best practices.
  • Cloud infrastructure management through IaaC techniques.
  • Product monitoring and maintenance.

Requirements

  • Master in Computer Science, Engineering, or any other computer science-oriented disciplines (PhD is a plus).
  • Ability to prototype and test suboptimal solutions quickly and iterate up to a final product that can be deployed in production to troubleshoot, debug, and optimize existing code to develop and manage cloud-based infrastructure solutions.
  • Knowledge of SQL, Python (scientific libraries: pandas, scipy, numpy, Jupyter).
  • Base knowledge of OOP and design patterns of Hadoop environment (HDFS, YARN, Hive, Spark).
  • Knowledge of cloud development (preferably AWS cloud) and familiarity with agile and scrum methodologies.
  • Experience with GIT, CI/CD pipeline, Docker, Kubernetes, and developing REST APIs.
  • Knowledge of Kafka and a streaming processing framework (Spark streaming, Apache Flink, etc.) of NO-SQL (Mongo, Apache HBase).

What We Are Looking For

  • Curiosity, interest in learning new technologies/new product/features.
  • Strong communication skills to collaborate with cross-functional teams and stakeholders.
  • Detail-oriented with good organizational and time management skills.

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