[Full Remote] Junior Data Engineer

Questa posizione è nel team di Pirelli, azienda leader a livello globale nel settore degli pneumatici.

Il riassunto dell'opportunità da parte della Joinrs AI: Pirelli è alla ricerca di un Data Engineer a tempo pieno e completamente da remoto per un ruolo stimolante con opportunità di crescita professionale. È richiesta una laurea in una disciplina STEM (Scienze, Tecnologia, Ingegneria, Matematica) e competenze in infrastrutture cloud e soluzioni dati. Il ruolo prevede la progettazione di data pipeline e il supporto a soluzioni di data science. L'azienda offre orari flessibili, lavoro da remoto e vantaggi per i dipendenti.

Il processo di selezione sarà interamente gestito da Pirelli.

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WHY JOIN US

We are offering a rewarding role with scope for career progression along with:

• Ticket restaurant.
• Flexible working hours.
• Remote Working.
• Employee benefits.

DRIVE YOUR FUTURE

The Data Engineer will be 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 ACTIVITIES

• 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.

WHAT WE ARE LOOKING FOR

• 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) of Scala.

WHAT PUTS YOU IN POLE POSITION

• Curiosity, interest of 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.