Aws Data Cloud Engineer

DISCOVER PIRELLIWe 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.Because power is nothing without our peopleIn **** Pirelli opened Pirelli Digital Solutions Center in Bari, the first development centre entirely focused on digital innovation, born with the goal of enriching internal skills in the most strategic areas for Pirelli.Pirelli Digital Center employees are involved in the development of software and algorithms destined for the most advanced processes of planning, manufacturing and marketing of the group's tyres throughout the world.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 USWe are offering a rewarding role with scope for career progression along with:Ticket restaurant.Flexible working hours.Hybrid Remote Working.Employee benefits.DRIVE YOUR FUTUREThe 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 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 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 POSITIONCuriosity, 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.#J-*****-Ljbffr