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Experienced Data Engineer with Java & Spark Expertise

inetum2Nantes
On-site Full-time

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Experience Level

Experience

Qualifications

Desired ProfileProven experience as a Data Engineer in distributed and Big Data environments. Strong expertise in Java and Spark. Ability to work in a cloud, containerized, and DevOps-oriented environment. Good SQL skills for manipulating multi-source data. Autonomy, rigor, analytical mindset, and performance-oriented. Experience in banking or datahub contexts is a plus.

About the job

As part of the DatahubV2 development, we are seeking a skilled Data Engineer who is well-versed in Java, Spark, and modern data architectures.


In this role, you will be a key member of the Data Foundation team, responsible for the construction, optimization, and reliability of data pipelines while ensuring adherence to best development practices and performance standards.

Your main responsibilities:

  • Design, develop, and optimize efficient data pipelines (batch processing, distributed computing).
  • Implement Spark 3 processes running on Kubernetes (Spark as a Service).
  • Manipulate DatahubV2 data using Starburst (Trino) with SQL.
  • Build and orchestrate data workflows on Astronomer / Apache Airflow using Python.
  • Conduct application integrations in Java (and potentially Scala depending on applications).
  • Ensure the quality, performance, and reliability of data jobs.
  • Contribute to the setup and maintenance of DevOps pipelines (Gitlab, Jenkins, ArgoCD…).
  • Monitor and analyze application logs via ELK (Log as a Service).
  • Collaborate with the Data Foundation team, leveraging and evolving internal Python libraries.
  • Participate in the documentation and continuous improvement of DatahubV2 practices.

About inetum2

inetum2 is a leading player in digital services and consulting, dedicated to providing innovative solutions that enhance business performance and drive transformation in the digital landscape.

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