Senior Data Engineer
il y a 4 semaines
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.
Key Responsibilities- Design and implement low-latency streaming data pipelines using state-of-the-art big data technologies.
- Work with cross-functional teams to explore data, clean, curate, and build end-to-end data pipelines.
- Design and implement necessary privacy and security controls into the CICD of each data pipeline.
- 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.
- 5+ years of experience in development and operation of cloud-native data streaming systems.
- Experience working in cloud-native real-time streaming data ecosystems such as Spark, Flink, Kinesis, Lambda, Kafka, EMR/EKS platform, Lakehouse platform (i.e., Delta.io).
- Experience in developing, optimizing AWS data system architecture: Infrastructure as Code, integration and deployment automation, security.
- Experience in ensuring operation reliability of cloud-native data systems 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.
GROUPE PSA is a global company with 300,000 employees, and we are part of Stellantis, a leading company in the automotive industry. We are committed to innovation, excellence, and sustainability, and we are looking for talented individuals to join our team.
We are a diverse and inclusive company, and we welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation, and disability. We believe that diversity is key to our success, and we are committed to creating an inclusive work environment.
If you are passionate about data engineering and want to join a dynamic team, please submit your application. We look forward to hearing from you
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