Internship: Structured Booking Record- Large-scale data processing with Spark (49404)

Description de l'offre

Major Responsibilities:

Team Description
Amadeus has built its strength, as the leading Global Distribution System on the scalability and availability of its travel reservation engine across the world. At Amadeus we strive to build the most advanced and most robust IT infrastructure available for the travel and tourism industry. SBR (Structured Booking Record) department in PNR (Passenger Name Record) division is responsible of very large databases used to store reservation information contained in PNRs. Our development team has activities offering opportunities to develop new functionalities while being really close to some of our core reservation applications. It is responsible for some of the hugest data repositories in the company.
 
Main Responsibilities
Among the products handled by the team, PNR Recall is the one archiving all reservation records for a given amount of time and giving access to them. It represents several terabytes of data. As Amadeus system is used by more and more customers around the world and permanently enriches its portfolio, this archiving system is targeted by demanding queries, issued by travel agencies and airlines, internally for different business purposes and has to cope with a still increasing amount of data. The challenge of this internship is to participate in the improvement of the way data is extracted internally, based on ad hoc criteria. Improvement is expected in terms of performance, flexibility and usability. The implementation of a prototype of Big Data storage, of the extraction framework and ideally of a GUI to manage it must use modern solutions: HBase, Hadoop, Apache Spark.

Profil recherché

Requirements:

• Good English level
    • Personal motivation
    • Communication