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Open nowPosted 8 hours ago

Ingénieur DATA H/F

Groupe LR Technologies189 open roles

Where
Lyon, France
Work mode
Hybrid
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Your applicationOpen nowIngénieur DATA H/FGroupe LR Technologies · Lyon, France

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Groupe LR Technologies's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Groupe LR Technologies postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.5%14 days
  5. 33.9%30 days
This job: posted 8 hours ago

Groupe LR Technologies median: 6 days open

The posting

Bienvenue chez LR Technologies Rhône-Alpes

« Toutes les Sociétés de Conseil se ressemblent », Toutes ?

LR TECHNOLOGIES GROUPE c'est 600 Libelliens qui nous ont élus Great Place To Work en 2016, 2018 et à présent 3e France et Europe 2021. Nous sommes également la 99e société française labellisée B CORP pour notre engagement RSE.

Depuis 2014 nous avons créé 11 implantations et 5 pôles d'activités complémentaires :

- Aéronautique / Spatial / Défense

- Drone / Robotique / IoT / Automobile/ Ferroviaire / Industries / Multimédia

- Médical / Pharmaceutique

- Énergie / Environnement

- Systèmes d'Informations / Banque / Finance / Assurance

MISSIONS

  • Concevoir et développer des pipelines de données avec Python, PySpark et Databricks.
  • Alimenter et maintenir une architecture Data Lake organisée en couches Bronze, Silver et Gold.
  • Optimiser les traitements existants en matière de performance, de qualité des données et de coûts.
  • Superviser les flux de données et mettre en place des mécanismes de monitoring et d’alerting.
  • Participer à la fiabilisation et à l’industrialisation de la plateforme Data.
  • Maintenir et faire évoluer l’infrastructure Cloud avec Terraform.
  • Développer et maintenir les pipelines CI/CD avec Jenkins et GitHub.
  • Contribuer aux études techniques, aux préconisations d’architecture et à la documentation.

Environnement technique :

  • Cloud & Data : Azure, Databricks, Azure Data Factory, Azure Storage, Azure Key Vault, Power BI.
  • Développement : Python, PySpark, SQL, Spark SQL.
  • Data Engineering : Delta Lake, Parquet, CSV.
  • DevOps & CI/CD : Terraform, Jenkins, GitHub, Git, pipelines de déploiement.

PROFIL

De formation supérieure, vous justifiez d'une expérience significative en tant qu'ingénieur Data avec une bonne maîtrise de Python, PySpark, SQL et Databricks.

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One press. We do the rest.

  1. A CV for this posting

    Written against Groupe LR Technologies's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Groupe LR Technologies's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Groupe LR Technologies's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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