Data Engineer Databricks Emplois

Micropole

Emplacement:
France, Levallois-Perret

Catégorie:
Informatique - Développement de logiciels

Type de contrat:
Non fourni

Salaire:

Non fourni

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Description du poste:

You will join our Cloud experts. As a Data Engineer Databricks (F/H), you will support business departments in evaluating the effectiveness of their processes and in their strategy to optimize their performance. You will work for our major clients in the luxury/retail, banking/insurance and industry/services sectors.

Responsabilités:

Develop and maintain client use cases with Big Data / Databricks tools and infrastructures
Model and analyze data in the Cloud
Guarantee data security / compliance
Provide reflection on business issues through data exploitation and understanding
Identify the most relevant data sources and present results concisely and visually
Carry out technological watch to be at the forefront of cloud & Data solutions
Participate in the development of our center of excellence

Exigences:

Minimum 3 years of experience on Data projects
At least 1 year of experience on Databricks projects (on GCP and/or Azure) or a Databricks certification
Mastery of at least one programming language (Spark, Scala or SQL)
Mastery of data modeling theories and tools
Mastery of industrialization tools and frameworks, IaC, CI/CD and/or version management

Souhaitable:

Passionate, rigorous, curious and attentive
Good level of English allowing intervention on international projects
Desire to get involved in the development of teams and technical communities around Cloud and Data solutions

Ce que nous offrons:

Join a community of 1200 passionate experts
Build tomorrow's strategic and innovative solutions together
Participate in the development of our 4 cloud centers of excellence: AWS, Microsoft, Salesforce, GCP
Continuous evolution through training and certifications on the greatest technologies via Micropole Campus
Ensure continuous innovation through: our ecosystem of technological partners
our databoost'R startup accelerator
our 'innovativeSpaces' innovation places and co-construction with clients
our management by natural talents

Informations supplémentaires:

Offre publiée:
10 décembre 2025

Type d'emploi:

Temps plein

Type de travail:

Travail sur site

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Data Engineer Databricks