Real-Time Data Engineer: GCP & MLOps for Defense AI

Alta Ares; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Alta Ares, based in Paris, is seeking a pragmatic Data Engineer focused on building reliable data systems. You'll design and maintain data pipelines and orchestrate workflows using tools like Prefect while ensuring scalability and reliability.

The ideal candidate has 2–3 years of Data Engineering experience, strong proficiency in Python and SQL, and familiarity with GCP. This role is pivotal, collaborating closely with ML teams in a fast-paced defense-related environment.

Qualifications

• 2–3 years of experience in Data Engineering.
• Hands-on experience with a workflow orchestrator (Prefect, Airflow, or Dagster).
• Experience deploying and operating pipelines on GCP or another cloud provider.

Responsabilités

• Design and maintain batch and near real-time data pipelines.
• Deploy and operate data pipelines on GCP.
• Implement access control mechanisms and manage data permissions.

Connaissances

Python for data processing

SQL skills

PostgreSQL experience

Workflow orchestrator experience

GCP or cloud provider knowledge

Monitoring and debugging data workflows

Description du poste

Alta Ares, based in Paris, is seeking a pragmatic Data Engineer focused on building reliable data systems. You'll design and maintain data pipelines and orchestrate workflows using tools like Prefect while ensuring scalability and reliability.

The ideal candidate has 2–3 years of Data Engineering experience, strong proficiency in Python and SQL, and familiarity with GCP. This role is pivotal, collaborating closely with ML teams in a fast-paced defense-related environment.