The Global Analytics and Data Products Team is looking for a Dev Ops 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.

Priorities can change in a fast-paced environment like ours, job responsibilities include but not limited to:

• Work with our data customers to provide reliable and timely data
• Be able to choose the appropriate level of data extraction when designing and implementing tables in the data lake
• Write code that reliably extracts data from REST service calls and then loads into the data lake
• Contribute to data operations with process documentation, service levels, data quality, performance dashboards, and continuous improvement efforts
• Implement operational improvements through automation, requiring ingenuity and creativity, within data pipelines
• Implement standards and procedures, work with the team to ensure conformity to standards and best practices
• Incident management, triage the activities and work with stakeholders and communicate with timely updates
• Prepare for and respond to audits for compliance with established standards, policies, guidelines and procedures
• Collaborate with data engineering and data governance teams in release planning, training, and hand-offs
• Manage processes at various levels of maturity, while maintaining consistent quality and throughput expectations
• Ensure visibility of all operational metrics, and related issues, to peers and leadership and proactively identify opportunities for operational efficiencies
• Be part of our support rotation

Top Performers will be able to demonstrate:

• Experience enriching data using third-party data sources
• Working knowledge of the latest big data technologies and systems
• Experience building out the tooling and infrastructure to make systems more self-service
• Knowledge of tools like Databricks and Astronomer/Airflow to run workloads
• Demonstrable experience of building internal tooling using Scala, ZIO, and Cats

A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world.

Great mobility solutions start with great people! This is an exciting time to join us!

Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate. In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today. 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 our people live and work.

Basic Qualifications:

• Bachelor's degree in a technical field
• 5 years of overall relevant experience
• 2 years experience in the following: Developing extract-transform-load (ETL). Experience in working in both SQL and Python Hands-on experience in data lakes. Hands-on experience in Airflow. Hands-on experience using Spark in Scala. Hands-on experience using Git performing merges

Preferred Qualifications:

• Experience using asynchronous REST calls to request data
• Experience using NoSQL databases like Bigtable, Cassandra, HBase, etc.
• Experience in functional programming
• Experience using an effects library like Cats IO, ScalaZ, or Zio