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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 key member of our data platform team, 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
- Implement 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 backgrounds.
