Senior Data Engineer

il y a 4 semaines

Poissy, Île-de-France Stellantis Temps plein

About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Stellantis. As a key member of our Data-as-a-Service Business Unit, 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 implement robust low latency streaming data pipelines using state of the art big data technologies for preparing/curating data that will support various data as a service product.
  • Work with various 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 (with an emphasis on scalability, robustness, data delivery low latency and data privacy and quality control).
  • 5+ years' experience working in Cloud native real-time streaming data ecosystem such as Spark, Flink, Kinesis, Lambda, Kafka, EMR/EKS platform, Lakehouse platform (i.e Delta.io) Experience in using Databricks Intelligent Platform is a plus.
  • 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 – Particularly experience in deploying and monitoring AWS infrastructure using MSK, EKS clusters 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.

About Stellantis

At Stellantis, we are becoming a #mobility #tech company with the size of a powerhouse and the soul of a startup. We are part of a global company with 300 000 employees and will fully leverage the resources and the benefits that provides, but we are built like a startup and operate like one, too. We are a truly global company, with teams all over the world and we work entirely remotely.

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.

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