
AWS Data Cloud Engineer
- Bari
- Tempo indeterminato
- Full time
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. In addition, thanks to the new algorithms - supporting all company and factory functions - Pirelli will be able to conduct studies directly on the tyre's “Digital Twin”, the digital replica of the physical product that enables the design and development of new performance analyses on virtual prototypes. In addition, thanks to the Industrial Internet of Things it will be possible to optimize the supply chain through predictive modelling of demand and improve production processes, predict maintenance of machinery with benefits in terms of cost and development times and savings of energy consumption and transformation costs.
The centre can count on a number of technologies including those of the Innovation room, a space which allows true digital co-working between employees in Bari and the around 500 people of the Pirelli Digital Team worldwide. It will also permit interaction with Pirelli Headquarters, Pirelli's 18 plants in the world, suppliers, clients and the various university hubs with which the company collaborates in open innovation projects and skills' exchange.WHY JOIN US
We are offering a rewarding role with scope for career progression along with:
*Ticket restaurant.
*Flexible working hours.
*Hybride Remote Working.
*Employee benefits.DRIVE YOUR FUTURE
The AWS Data Cloud 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.