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# Senior Engineer Snowflake

- **Company:** VISEO Group
- **Location:** Boulogne-Billancourt, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Machine Learning, Role-Based Access Control, Power BI, SQL Databases, Data Streaming, Tableau (Software), Google Cloud, Snowflake, Git, Terraform, Looker Analytics
- **Published:** June 3, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=b3b28846f9c721aa

## About the Role

Maîtrise de Snowflake (warehouses, compute, storage, performance, sécurité).

Excellente maîtrise du SQL avancé.

Expérience sur un cloud public (AWS, Azure ou GCP).

Connaissance des architectures Data (DWH, Lakehouse, MPP, data pipelines)., DBT, Airflow, Fivetran, Matillion ou équivalents.

Python pour la manipulation et l?automatisation.

Outils BI (Power BI, Tableau, Looker?).

Pratiques DevOps : Git, CI/CD, Terraform.

Connaissances en IA / Machine Learning (bonus)., Vous avez une expérience significative sur Snowflake ou une expertise Data Cloud équivalente.

Vous êtes autonome, rigoureux, curieux et motivé par l?innovation.

Vous aimez résoudre des problèmes complexes et optimiser des environnements data.

Vous êtes à l?aise dans un environnement agile et collaboratif.

## Description

En tant que Senior Ingénieur Snowflake, vous serez responsable de :

Conception & Architecture

Concevoir, modéliser et optimiser les architectures Data Warehouse / Data Lakehouse sous Snowflake.

Définir la stratégie d?ingestion, de transformation et de stockage des données.

Concevoir des pipelines data performants et sécurisés.

Développement & Industrialisation

Développer des flux de données (ETL/ELT) avec Snowflake, SQL, Python et outils d?intégration (DBT, Fivetran, Airflow?).

Optimiser les performances des warehouses, requêtes SQL et processus de calcul.

Mettre en place des environnements CI/CD pour les projets data.

Sécurité & Gouvernance

Implémenter les bonnes pratiques de sécurité : gestion des rôles, RBAC, chiffrement, monitoring, FinOps.

Gérer la qualité des données, le catalogage et la gouvernance.

Support & Collaboration

Collaborer avec les équipes Data, IT, BI et Métier pour comprendre les besoins.

Fournir support, documentation et bonnes pratiques.

Participer à la veille technologique autour de la Data & du Cloud.


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