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Promouvoir et soutenir le logiciel libre
Offre N°20512 du Wednesday 08 July 2015

Teads - - founded in 2011, is the inventor of outstream video advertising and a global monetization platform for publishers. Publishers work with Teads to create brand new video inventory and manage their existing inventory, monetizing it through programmatic buying, their own sales force, or third parties.

Teads’ outstream video advertising solutions encompasses a series of formats inserted deep into media content, including articles, slideshows and newsfeeds. It is changing the game within the video advertising market by creating unprecedented levels of premium inventory, which did not exist before.

Brands and agencies can access this top-tier, premium inventory, available on the web and on mobile, through programmatic or managed services. Through our managed services capabilities, the Teads team execute on their clients behalf using its platform.

Teads has a team of over 400 employees, 100 of which are in the innovation team, across 26 global offices.

Cassandra database architect
Date de disponibilité :
Référence :
Poste :Administrateur base de données
Contrat :CDI -- Indifférent --
Création de poste :non
Rémunération : Selon profil
Région :-- Indifférent --

Détails :
Teads is using Apache Cassandra in production for 3+ years. We store our dynamic and massive production data in Cassandra, alongside with a MySQL database for small and static data. We now have 30+ nodes, across multiple clusters and Datacenters in distinct AWS region serving and storing 10’s of thousands of reads and writes in Cassandra, every minute, with extremely low latencies. All of this while hosting it in the Amazon Cloud (AWS) and with only one database architect!

Your mission:
· Cassandra database administration
· Cluster management automation
· Cassandra cluster tuning
· Outage handling
· Data modeling and usage recommendation
· Supporting the backend team to tune Cassandra clients

This is a great opportunity to work with and learn Apache Cassandra as the endpoint of a fully distributed lambda architecture embedding Storm, Kafka, Hadoop, Spark, … We are ready to scale, join us to be part of it!
Connaissances requises
GNU/LinuxBien maitriséApacheBien maitrisé
MongoDBBien maitriséPythonMaitrisé


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