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# Senior Data Engineer H/F

- **Company:** Size Up Consulting
- **Location:** Paris, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Python (Programming Language), Scala (Programming Language), SQL Databases, Azure Data Factory, Delivery Pipeline, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Kubernetes, AWS Glue, Apache Kafka, Docker, Databricks
- **Published:** July 1, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/80795576.html

## About the Role

Minimum 5 ans d'expérience en Data Engineering.

 - Excellente maîtrise de SQL et des traitements Big Data.
 - Solides connaissances des architectures Cloud et des Data Lakes.
 - Expérience des environnements distribués et des pipelines industrialisés.
 - Esprit d'équipe, autonomie et bonnes capacités de communication., Scala
SQL
AWS
Git
Création d'une base documentaire
Kubernetes
Big data
Python
Autonomie
KAFKA
Docker

## Description

Concevoir et développer des pipelines d'ingestion, de transformation et de valorisation des données.

 - Développer des traitements distribués sur des volumes importants de données.
 - Concevoir et maintenir les modèles de données nécessaires aux usages analytiques et opérationnels.
 - Garantir la qualité, la fiabilité et la disponibilité des données.
 - Optimiser les performances des traitements et des requêtes.
 - Participer à la conception de l'architecture Data et à son évolution.
 - Industrialiser les développements en mettant en place des pipelines CI/CD.
 - Collaborer avec les équipes Data Science, Analytics, Produit et Infrastructure.
 - Assurer la documentation technique et le partage des bonnes pratiques.

Environnement technique

Python, SQL, Spark, PySpark, Scala, Databricks, Delta Lake, Snowflake, dbt, Airflow, Kafka, Azure Data Factory, AWS Glue, Azure, AWS, Docker, Kubernetes, Git, CI/CD.


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