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Data Engineer Nifi ou Airflow H/F

Propertyvalue
Lyon, France
13 days ago
Apply on www.hellowork.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.hellowork.com

Tech stack

Airflow Databases Extract Transform Load (ETL) Python (Programming Language) SQL Databases SQLAlchemy Data Processing Apache Nifi Data Management

Job description

Entreprise du secteur de l’énergie, basée à Lyon, recherche un profil avec environ 5 ans d’expérience pour renforcer son équipe data.

Missions

  • Manipulation et traitement de données via ETL
  • Développement et maintenance de scripts Python
  • Gestion et interrogation de bases de données SQL

Outils & Environnement

Requirements

Python

  • SQL
  • Outils ETL (connaissance de Nifi ou Airflow appréciée), Profil recherché~5 ans d’expérienceBonne maîtrise du PythonBonne maîtrise du SQLConnaissance du fonctionnement et de la manipulation de données sous ETLConnaissance de Nifi (ou Airflow) serait un plus, 1. ~5 ans d’expérience 2. Bonne maîtrise du Python 3. Bonne maîtrise du SQL 4. Connaissance du fonctionnement et de la manipulation de données sous ETL 5. Connaissance de Nifi (ou Airflow) serait un plus

EUR

ETL SQL Gestion des données Python

Benefits & conditions

Basé à Lyon

  • Télétravail 2 à 3 jours par semaine possible, Salaire :Salaire selon profil

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.hellowork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:42 min

Comparing lines of code and framework dependency graphs

Daniel Hepper · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • over 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment thumbnail
25:41
World Congress 2024 • about 2 years ago

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

Joy

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

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