Staff DataOps Engineer: Build Enterprise Data Platform

Doctolib; Paris; Sur place; EUR 75 000 - 100 000; Plein temps

Avantages offerts par ce poste

Free comprehensive health insurance

25 days of paid vacation

Lunch vouchers

Relocation support

Access to AI tools for coding

Résumé du poste

Doctolib in Paris is seeking a Staff DataOps Engineer to shape their data platform strategy and architecture. You'll be responsible for designing enterprise-scale data infrastructure and lead initiatives that accelerate machine learning, all while working closely with cross-functional teams.

The ideal candidate has 7+ years of experience, extensive knowledge of Google Cloud Platform, and is proficient in building data pipelines using Airflow or Dagster. A comprehensive benefits package is included.

Qualifications

• 7+ years as a Staff DataOps Engineer or similar role with robust data platforms.
• Extensive experience with Google Cloud Platform and automated deployments.
• Deep proficiency in orchestrating data pipelines with Airflow or Dagster.

Responsabilités

• Design and implement enterprise-scale data infrastructure strategies.
• Build and optimize complex, multi-region data pipelines.
• Evaluate emerging technologies, conduct proof-of-concepts for new data tools.

Connaissances

Google Cloud Platform

Kubernetes

Terraform

Airflow

Python

Data governance

Outils

BigQuery

Dagster

Description du poste

Doctolib in Paris is seeking a Staff DataOps Engineer to shape their data platform strategy and architecture. You'll be responsible for designing enterprise-scale data infrastructure and lead initiatives that accelerate machine learning, all while working closely with cross-functional teams.

The ideal candidate has 7+ years of experience, extensive knowledge of Google Cloud Platform, and is proficient in building data pipelines using Airflow or Dagster. A comprehensive benefits package is included.