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# Data Engineer Databricks & DBT en CDI (H/F)

- **Company:** PREREQUIS
- **Location:** Paris, France
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Data Warehousing, SQL Databases, Google Cloud, Delivery Pipeline, Data Build Tool (dbt), Apache Spark, Git, Data Lakes, Pyspark, Data Lakehouse, Databricks
- **Published:** July 3, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=5a17c6bf48a87f60

## About the Role

Profil candidat:Compétences techniquesIndispensables :
Excellente maîtrise de Databricks.

Très bonne connaissance de dbt (Data Build Tool).

Maîtrise de SQL.

Expérience en PySpark et Spark.

Connaissance des architectures Data Lake / Lakehouse.

Expérience des plateformes Cloud (Azure, AWS ou GCP).

Maîtrise de Git.

## Description

Vous rejoindrez une équipe Data dynamique afin de concevoir, développer et optimiser des pipelines de données robustes, scalables et performants, en vous appuyant sur Databricks, dbt et les meilleures pratiques d'ingénierie Data.

Vos missionsConcevoir, développer et maintenir des pipelines de données fiables et performants.

Développer des transformations de données avec dbt.

Concevoir et optimiser des traitements de données sur Databricks (Spark/PySpark).

Participer à la modélisation des données (Data Warehouse, Data Lakehouse).

Mettre en ?uvre les bonnes pratiques de qualité, de tests et de documentation.

Industrialiser les traitements via des pipelines CI/CD.

Collaborer avec les équipes Data Analysts, Data Scientists et métiers.

Participer à l'amélioration continue de la plateforme Data.


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