Senior Java Backend Architect & Data Systems Lead

Pelico

Paris

Sur place

EUR 90 000 - 120 000

Plein temps

Il y a 22 heures
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Résumé du poste

Pelico seeks an experienced Lead ETL Backend Engineer to drive scalable data pipelines using Java/Kotlin for our manufacturing intelligence platform. You will design, implement, and optimize backend components, APIs, and data processing at scale, while ensuring performance and reliability.

You will mentor junior engineers, shape system architecture, and partner with DevOps to optimize CI/CD, security, and data integrity across distributed environments.

Qualifications

  • Proven experience building ETL backends in Java or Kotlin.
  • Strong understanding of data ingestion, processing, and analytics at scale.
  • Experience with relational databases and API development.
  • Familiarity with distributed systems concepts and performance optimization.
  • Ability to mentor junior engineers and lead code reviews.
  • Knowledge of secure coding practices and CI/CD practices.

Responsabilités

  • Lead Pelico ETL backend development in Java for scalability and performance.
  • Design, implement, and optimize data processing pipelines and APIs.
  • Architect scalable services with modularity and maintainability.
  • Collaborate with DevOps to optimize CI/CD pipelines and deployments.
  • Mentor junior engineers through code reviews and knowledge sharing.
  • Ensure data integrity, security, and reliability in distributed environments.

Connaissances

Java backend
Kotlin
Distributed systems
Relational databases
Performance optimization

Outils

CI/CD
API design

Description du poste

Pelico seeks an experienced Lead ETL Backend Engineer to drive scalable data pipelines using Java/Kotlin for our manufacturing intelligence platform. You will design, implement, and optimize backend components, APIs, and data processing at scale, while ensuring performance and reliability.

You will mentor junior engineers, shape system architecture, and partner with DevOps to optimize CI/CD, security, and data integrity across distributed environments.

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