Data Engineer

Efficient Solution

Aix-en-Provence, France

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

fr.indeed.com

Tech stack

Airflow Amazon Web Services Amazon S3 Extract Transform Load (ETL) Python (Programming Language) Apache Spark

Job description

Concevez et maintenez des pipelines de données scalables pour alimenter les solutions d’IA et de business intelligence.

Responsabilités

Concevoir des pipelines ETL avec Airflow.
Développer des jobs Spark.
Optimiser les performances des requêtes.
Collaborer avec les data scientists.

Requirements

3+ ans en data engineering.
Python avancé.
Expérience Spark/Airflow.
AWS (S3, Redshift, Glue).

Ce que nous offrons

Projets data innovants.
Stack cutting-edge.
Flex office.
Budget formation conséquent.

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Good distractions

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

Moments

Explore playlists

1:31 min

Selecting the ideal data stack for distinct workloads

Alan Mazankiewicz · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

2:19 min

Introduction to Apache Airflow for advanced orchestration

Alan Mazankiewicz · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk +1 · World Congress 2024

Videos

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Fully Orchestrating Databricks from Airflow thumbnail