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# Data Engineer H/F

- **Company:** Propertyvalue
- **Location:** Paris, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Databases, Continuous Integration, Extract Transform Load (ETL), Data Mart, Data Warehousing, Github, Python (Programming Language), OpenShift, Performance Tuning, Cloud Services, SQL Databases, Management of Software Versions, Datadog, Informatica Powercenter, Snowflake, Grafana, Git, Containerization, Kubernetes, Terraform, Docker
- **Published:** September 11, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/83259387.html

## About the Role

Excellente maîtrise de Snowflake

 - Excellente maîtrise de dbt
 - Excellente maîtrise de Airflow
 - Excellente maîtrise de AWS
 - CI/CD (GitHub Actions), Git, Terraform
 - Docker (Kubernetes/OpenShift un plus)
 - Datadog et/ou Grafana

Un plus

 - IICS (Informatica) ou ETL équivalent
 - Certifications AWS / Snowflake
 - Expérience santé / GxP
 - Anglais courant requis, français apprécié, Profil recherchéExcellente maîtrise de SnowflakeExcellente maîtrise de dbtExcellente maîtrise de AirflowExcellente maîtrise de AWSCompétences en CI/CD (GitHub Actions), Git, TerraformMaîtrise de Docker (Kubernetes/OpenShift un plus)Connaissance de Datadog et/ou GrafanaUn plus : Certifications AWS / SnowflakeAnglais courant requis, français apprécié, 1. Excellente maîtrise de Snowflake
 2. Excellente maîtrise de dbt
 3. Excellente maîtrise de Airflow
 4. Excellente maîtrise de AWS
 5. Compétences en CI/CD (GitHub Actions), Git, Terraform
 6. Maîtrise de Docker (Kubernetes/OpenShift un plus)
 7. Connaissance de Datadog et/ou Grafana
 8. Un plus : Certifications AWS / Snowflake
 9. Anglais courant requis, français apprécié

EUR

Français
Anglais
ETL
SQL
AWS
Grafana
Git
Kubernetes
Python
Gestion de base de données
Terraform
Docker

## Description

Snowflake : modélisation DWH/Datamart, optimisation des performances de requêtes

 - dbt : transformation de données, migration et industrialisation des pipelines
 - Airflow : orchestration de pipelines end-to-end (ingestion DWH/Datamart)
 - AWS : services cloud en production, Concevoir et implémenter des pipelines data end-to-end sur Snowflake avec dbt, Airflow, SQL et Python
 - Contribuer à la modélisation du Datawarehouse et des Datamarts Portfolio Analytics, avec une logique d'urbanisation vers un modèle unifié PortAI
 - Participer à la migration dbt/Airflow et aux chantiers d'optimisation (temps d'exécution, coûts infra)
 - Traduire les besoins métier (Product Owners, Data Analysts, Data Scientists) en solutions techniques
 - Garantir qualité, standardisation et observabilité des données (Datadog/Grafana)
 - Assurer le run quotidien des flux BBTool et le traitement des incidents
 - Appliquer les bonnes pratiques CI/CD, versioning, Infra-as-Code et conteneurisation


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