Job Description

Roles & Responsibilities

Job Description: As part of the development of our Data & AI activities, we are looking for a GCP/DataOps Data Engineer with at least 4 years of experience to design, develop, and industrialize data flows on Google Cloud Platform (GCP). You will be responsible for implementing high-performance, secure, and scalable solutions that guarantee data availability and reliability for various analytical and AI use cases. Main responsibilities: Design, develop, and maintain robust and industrialized data pipelines. Implement DataOps practices through automation, monitoring, and CI/CD processes. Optimize data processing performance and operating costs on GCP. Ensure data quality, security, governance, and availability. Participate in the architecture and evolution of Data Cloud platforms. Collaborate with Data, AI, and Business teams to meet functional and technical needs. Ensure the documentation, support, and operational maintenance of developed solutions.

Desired Candidate Profile

Master's degree (Bac+5) in Computer Science, Data Engineering, Big Data, or equivalent. Minimum 4 years of experience as a Data Engineer, DataOps Engineer, or in a similar role. Proficiency in Google Cloud Platform (GCP), including BigQuery, Dataflow, Cloud Composer, and Pub/Sub. Excellent SQL and Python skills. Strong understanding of DataOps practices, CI/CD, Git, and automation tools. Experience in the architecture, deployment, and operation of Data Cloud platforms. Knowledge of data quality, security, and governance issues.