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Data Engineer expérimenté(e)

Levallois-Perret, Nanterre💼 Full-time🗓 2026-05-12 → 2026-08-10

Core

Designing and developing distributed data processing pipelines and building resilient, scalable Big Data architectures for client IT and digital transformation projects.

Role type

Senior Data Engineer

Builds

Scalable data platforms and SaaS solutions for enterprise clients

Domain

Big Data, Cloud, Industrial Digital Transformation

Deliverable

production ML models | product features | infrastructure

Required skills

Java, Scala, Apache Spark, SQL, distributed systems architecture, cloud environments

Preferred skills

Kafka, Hadoop, Hive, Airflow, Docker, Kubernetes, AWS, Azure, GCP

Technologies

Apache Spark, Kafka, Hadoop, Hive, Airflow, Docker, Kubernetes, Git, Jenkins

Responsibilities

Design and develop distributed data processing pipelines, build and maintain resilient Big Data architectures, optimize processing performance and data quality, apply software engineering best practices including CI/CD and code review, collaborate with Data, DevOps, Cloud, and Business teams

Seniority

Senior, hands-on IC

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