Data Engineer

Description de l'offre d'emploi

Luni, member of the top 10 global publishers, is specialized in mobile applications development and distribution.

Used by tens of millions of users worldwide, ours applications are dowloaded nearly 200 000 times a day only on iOS, featured by Apple and promoted « App of the Day ».

Specialists in well-being, sport, entertainment and productivity, our high-quality applications are backed by the most powerful internal tools on the market.

Join us in creating the best mobile experience for iOS users and making our brands the reference in wellness in the App Store !

We are looking for our new Data Engineer M/F passionate, creative, bold and eager to contribute to the evolution of our applications.

Your goals 🔥 :

  • Design and maintain big data architecture and pipelines for ingesting data from various sources into a data lake.
  • Create and develop internal tools adapted to Business Intelligence and data science needs.
  • Join a process of improving our products by providing effective solutions to business challenges, sometimes specific to the mobile sector.
  • Check constantly new technologies and solutions for transport, storage and structuring of data.

Why choose Luni ? ❤️

You will work on mobile applications used daily by millions of users all over the world

You will integrate a young team, passionate, innovative and independant where the hierarchy is close to zero

You will evolve in a relaxing and stimulating environment where team spirit and well being are key, with offices mixing sports, chill and play spaces

Competitive salary and benefit package

Your ambition is welcome, you will shape your profession.

Exigences de l'offre d'emploi

Skills 💪

Required :

  • Control of at least one programming language: Python 3, Java 8+ or Scala Cloud computing (GCP or AWS)
  • Cloud and distributed architectures
  • Data architecture and Serverless architecture Bases SQL & NoSQL
  • Distributed calculations frameworks type Spark / Spark Streaming Concepts Data Lake / Data Warehouse DevOps Practices - CI / CD chain

Bonus :

  • Docker and Kubernetes Monitoring piloting and project management 
  • Implementation of analytical tools: Tableau, Qlik

Experience : 5 years minimum