[Full Remote] Junior Data Engineer Bardi

[Full Remote] Junior Data Engineer
Bardi
Emilia Romagna, Bardi

Pirelli, a global leader in the tire industry, seeks a Data Engineer for a rewarding role with career progression. We require a master's degree and skills in cloud infrastructure and data solutions. You will design data pipelines and support data science solutions. We offer flexible hours and remote work.

Company's Requirements: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 is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences.

Why Join UsWe are offering a rewarding role with scope for career progression along with:

Ticket restaurant. Flexible working hours. Remote Working. Employee benefits. Drive Your FutureThe Data Engineer will support the architecting, implementation, and optimization of data-driven solutions as part of the enablers that change how decisions are made across all business units.

Your Core ActivitiesDesign 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. What We Are Looking ForMaster 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. 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) of Scala. What Puts You in Pole PositionCuriosity and 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. APPLY NOW, DRIVE YOUR FUTURE!

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