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Senior Data Engineer
Il y a 2 mois
About Stellantis
Stellantis is a global company that is transforming into a mobility tech company. We are part of a large organization with a strong presence in the market, but we operate like a startup, with a focus on innovation and agility.
Our Vision
We envision a world where data is harnessed to create innovative applications and services that transform and improve everyday lives for consumers and businesses. Our Data-as-a-Service Business Unit, Mobilisights, is at the forefront of this vision, leveraging sensor and other data from millions of connected vehicles and devices to support data products and services for a growing array of customers.
Job Summary
We are seeking a Senior Data Engineer to join our team at Mobilisights. As a Senior Data Engineer, you will be responsible for designing and building a best-in-class robust scalable data platform that can ingest, store, manage and stream massive amounts of data while simplifying its analysis and processing to enable rapid development of high-quality data products and services.
Key Responsibilities
- Design and build a scalable data platform that can handle massive amounts of data
- Design, implement and test robust low latency streaming data pipelines using state of the art big data technologies
- Work with cross-functional teams to explore data and figure out all the data wrangling needed to clean, curate the data and build the end-to-end data pipeline per requirements
- Design necessary privacy and security preventive and detective controls into the CICD of each data pipeline
- Drive continual improvements for reliability, performance, scalability, quality and own associated KPI
- Provide on-call support for the platform and troubleshooting any issues that arise
Requirements
- 5+ years of experience in development and operation in production of Cloud native data streaming data systems
- 5+ years' experience working in Cloud native real-time streaming data ecosystem such as Spark, Flink, Kinesis, Lambda, Kafka, EMR/EKS platform, Lakehouse platform
- 5+ years of experience in developing optimizing AWS data system architecture: Infrastructure as Code, integration and deployment automation, security
- 5+ years of experience in ensuring operation reliability of cloud native data system in production
- 5+ years' experience with languages like Spark-Scala, Py-Spark and/or Python, Java
- Experience in relational database concepts with a solid knowledge of SQL, SQL Tuning, Big Data NoSQL technologies
- Experience in implementing application processing large-scale Geo-spatial data is a plus
- Experience with development and deployment of containerized application using Docker, Kubernetes, Helm
- Experience in building systems that monitor data losses and data quality control
- Demonstrated knowledge of data structures and algorithms
- Experience in designing foundations of Operational excellence and implementing
- Curiosity and passion to learn with a strong bias to action
What We Offer
We offer a dynamic and challenging work environment, with opportunities for growth and development. We are committed to diversity and inclusion, and we welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation, and disability.
Location
The position is based in Europe, France, with the possibility of remote work.
