Data Engineer
2 giorni fa
General information
Organisation
Joining us means joining a global company. Driven by the constant search for innovation and excellence, a pioneer and leader in clean technologies and sustainable mobility, the Group intends to remain at the forefront of the major trends that are moving the world.
With its efficiency, agility and team spirit, the Group is demanding and bold in defining the mobility of tomorrow.
To succeed in these transformations, the company needs all the talents. Join us
At Stellantis, we evaluate candidates according to their qualifications, their merits and the needs of the profession. We welcome applications from people of all gender, age, ethnicity, nationality, religion, sexual orientation, and disability. The diversity of our teams will allow us to better understand the evolving needs of our customers and our future environment.
Reference
Job Family/Profession
Engineering - Engineering
Job title
Data Engineer (ref.1430)
Contract
Permanent contract
Status
Staff
Job description
Company Overview:
Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.
With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.
JOB DESCRIPTION
The Global Analytics & Data Products Team is looking for a Data Engineer to join our team. Your mission is to establish the organization's data infrastructure, promoting engineering best practices on data management, and keeping the high bar for data quality.
MAIN ACTIVITIES
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:
●Design and implement secure, scalable, high-performance and robust data services for connected vehicle data in distributed data processing platforms using modern Big Data technologies.
●Design, extend, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the software development life cycle.
●Partner with software engineers and data scientists to meet the need of upstream and downstream dependencies.
●Work with external carrier stakeholders and internal partner teams to ingest connectivity data for data processing.
●Keep up to date with the evolving Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.
The hiring could be in Turin/Pomigliano d'Arco/Modena
At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability.
Diverse teams, will allow us to better meet the evolving needs of our customers and care for our future.
By submitting your application, you are accepting our privacy notice:
#LI-Hybrid
#L1-BG1
Profile
REQUIREMENTS
●BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline preferred
●2+ years of experience in the data engineering and software development life cycle.
●2+years of hands-on experience in building and maintaining production data applications, current experience in both relational and distributed columnar data stores.
●Experience using SQL, Python, and Spark
●Experience with Airflow
●Experience working with cloud Big Data platforms (i.e. AWS Redshift, Google BigQuery, Azure Data Warehouse, etc.)
●Familiarity with time series database, data streaming applications, Kafka, Flink, and more
Country
Europe, Italy
City
TURIN
Minimum level of experience required
3 to 5 years
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