Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : Internet Memory Research
Durée : CDI
Contact : philippe.rigaux@cnam.fr
Date limite de publication : 2016-12-31

Contexte :
Internet Memory Research is seeking big data software engineer to work on developing our own B2B and B2C e-marketing solutions. The job will be to design and develop scalable solutions for processing massive amounts of real-time data based on Cloudera Hadoop, develop complex MapReduce/Spark/Flink jobs to compute important metrics and data derivates, work with others on the Big Data team to solve complex computational and analytical problems.

Sujet :
IMR is a start-up company based in Paris, France. It has a background in developing technologies for large-scale web crawling, archiving and analytics that uses as a basis for its own e-marketing B2B and B2C solutions. IMR is running its own computing infrastructure in its own datacenter hosting PBs of web crawled archives. The IMR team is multi-cultural and communicating in English and French. IMR is also currently involved in two H2020 research projects co-funded by the EU commission.

Profil du candidat :
Ph.D. or engineer’s degree in Computer science.

Formation et compétences requises :
• Excellent background in distributed processing using at least one of Hadoop,
Spark, Flink
• Proficiency with NoSQL data bases like HBase or Cassandra,
• Excellent knowledge of Java
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Solid experience with large datasets
• At least user level Unix/Linux systems knowledge
• Autonomous, team player
• Good knowledge of English

What we offer:
• Work with open source cutting edge technologies on wide variety of projects
• Competitive salary based on experience, skills, and qualifications
• Start-up culture, young and dynamic team
• Agile/Scrum development methodology

Adresse d’emploi :
Please send your CV including a list of your projects you are especially fond of to:
job@internetmemory.net
http://www.ineternetmemory.net

Document attaché : imr-hadoop-position.pdf