Mobilisights Principal Data Engineer

il y a 4 semaines

Poissy, Île-de-France Stellantis Temps plein

Job Title: Mobilisights Principal Data Engineer

Job Description:

Stellantis, a leading global car manufacturer, is seeking an accomplished Data Engineering leader to spearhead the development of its data platform and drive the delivery of data products and services. As the leader of the data engineering team, you will design and build a best-in-class robust scalable data platform that can ingest, store, manage, and stream massive amounts of data from connected vehicles while simplifying its analysis and processing to enable rapid development of high-quality data products and services.

Key Responsibilities:

  • Design and build a cloud-native data platform using advanced big data technologies.
  • Develop data products and services that can power hundreds of brand-new b2b and b2c applications, services, and decision-making across industries.
  • Collaborate with UX and software engineering teams to ensure easy discovery and licensing of data as well as a low-latency delivery of and high-uptime access to the data products and services.
  • Implement a data governance policy for data management of partner/3rd party data to ensure data privacy compliance with GDPR and CCPA.
  • Partner with software engineering teams in designing data request/delivery APIs and the creation of a standardized metering and instrumentation approach for all data products.
  • Design and implement an experimentation platform for the agile, but secure, testing of data products and services.
  • Drive continual improvements for reliability, performance, scalability, and quality and own associated KPIs.
  • Build and mentor a world-class team of data engineers, expanding the impact and reach of data at Stellantis.

Requirements:

  • 10+ years of industry software engineering experience building Data as a Service Best-in-Class Cloud native Data platform using advanced Big Data technologies.
  • 5 or more years of hands-on experience and deep expertise in architecting and building data products/platforms using popular public cloud platforms (AWS, Azure, GC).
  • 5+ years' experience in implementing streaming data and batch data platforms using but not limited to technologies like Spark, Flink, Kinesis, AWS Lambda, Kafka, EMR/EKS platform, Lakehouse platform (i.e.).
  • Strong experience in designing and practicing DevSecOps in data pipelines.
  • Experience in designing foundations of Operational excellence and implementing it.
  • Experience in implementing data security and monitoring them with preventive and detective controls.
  • Experience in writing and optimizing SQL queries using AWS analytic stack.
  • Experience in NoSQL databases like MongoDB, Dynamo DB, Cassandra.

Preferred Qualifications:

  • Be active in the industry, recognized for the application of science within your industry.
  • Exemplifies multidimensional skill sets – data engineering, experimentation, software development, etc.
  • Familiarity with modern data science and product analytics tools and techniques.
  • Experience with AI/machine learning.
  • Being a renowned champion for best practices within the analytics, data, and engineering teams.

Location: Europe, France

Language: English (C1 - Courant (3.5 - 4.4 Bright))

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