Geforderte Skills
- Data Engineering
- Google Cloud Platform (GCP)
- Dataiku DSS
- Python
- SQL
- BigQuery
- Cloud Storage
- Pub/Sub
- Dataflow
- Data Pipelines
- CI/CD
- Terraform
Sprachen: French
Jobbeschreibung
Seeking an experienced/senior Data Engineer with expertise in Google Cloud Platform (GCP) and Dataiku DSS to design, develop, and industrialize robust data solutions for a luxury sector company.
Project overview
As part of strengthening the Data & Analytics teams of a prestigious player in the luxury sector, we are looking for an experienced/senior Data Engineer with dual expertise in Google Cloud Platform (GCP) and Dataiku DSS.
You will join a modern Data environment, with the opportunity to work on strategic data transformation and valorization projects.
Your role will consist of designing, developing, and industrializing robust and scalable data solutions, while supporting business teams in deploying analytical and AI use cases.
🔹 Your main responsibilities
- Data Engineering & GCP
- Design, develop, and industrialize data pipelines on GCP.
- Develop data ingestion, transformation, and exposure processes.
- Implement batch and real-time flows with BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
- Develop efficient, maintainable, and reusable Python and SQL components.
- Contribute to architectural choices and performance optimization.
- Dataiku DSS & Industrialization
- Design, develop, and maintain Dataiku DSS projects and workflows.
- Automate and industrialize Dataiku processes.
- Implement best practices for versioning, documentation, and monitoring.
- Support business teams in the exploitation of Data Products.
- Data Quality & Governance
- Ensure data quality, consistency, and traceability.
- Deploy quality controls and audit mechanisms.
- Contribute to technical documentation and development standards.
- Participate in the continuous improvement of Data governance practices.
- DevOps & CI/CD
- Maintain and evolve CI/CD pipelines.
- Automate deployments using Terraform.
- Participate in code reviews and the application of DevOps best practices.
- Ensure monitoring, support, and maintenance of production solutions.
Project details
- Start: flexible
- Remote: hybrid
- Location: Paris, France, FR
- Languages: French
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