Senior Data Engineer

il y a 2 semaines

Poissy, Île-de-France GROUPE PSA Temps plein
Job Description

We are seeking a highly skilled Senior Data Engineer to join our team at GROUPE PSA. As a Senior Data Engineer, you will be responsible for designing and building robust, scalable data platforms that can ingest, store, manage, and stream massive amounts of data.

You will work closely with cross-functional teams to explore data, figure out data wrangling needs, and build end-to-end data pipelines. Your strong bias for operational excellence will ensure error handling, restart-ability, logging, monitoring, and alerting are built into the pipeline.

You will drive continual improvements for reliability, performance, scalability, quality, and own associated KPIs. Additionally, you will provide on-call support for the platform and troubleshoot any issues that arise.

Responsibilities:
  • Design and build a best-in-class robust scalable data platform
  • Design, implement, and test robust low-latency streaming data pipelines
  • Work with cross-functional teams to explore data and build end-to-end data pipelines
  • Drive continual improvements for reliability, performance, scalability, quality, and own associated KPIs
  • Provide on-call support for the platform and troubleshoot 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
  • 5+ years of experience in developing optimizing AWS data system architecture
  • 5+ years of experience in ensuring operation reliability of cloud native data system in production
  • 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
  • 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

We assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation, and disability.

Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.

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