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, remote work, and employee benefits.
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.
APPLY NOW, DRIVE YOUR FUTURE!
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