Qliksense extensions and mashups

Description de l'offre

Join us and shape the future of travel

Shaping the future of travel has always been important to us at Amadeus. Today, with technology getting smarter by the minute, that future is more exciting than ever.

We work at the heart of the global travel industry. Amadeus offers you the opportunity to learn and grow and drive your own progression in an exciting and multicultural environment.

Our people are driven by a passion for 'Where next?' If you want to shape your career and the future of travel, Amadeus is the place for you.

Description

DMG department is in charge of standardization and tooling around for Big data processing in Amadeus (Hadoop, Kafka, Spark, Elastic search, Kibana…). In the Hadoop team, we are in charge of a full software stack combining many components for data capture, data processing, as well as processed data distribution and visualization.
Our infrastructures are meant to provide analytical processing capabilities on top of extended range of travel data, but we are oriented mainly toward industrialization and deployment of production grade application.
This internship is aimed at completing our existing stack with an offer oriented toward data discovery and exploratory data science. For this, we would like to propose notebook capabilities connected to Amadeus data lake and dedicated processing cluster so that data scientists and data analyst could investigate machine learning or statistical analysis and identify quickly ideas for new developments.

Main responsibilities

The expected work consists first in analysing different notebook framework and how they could be adapted to our infrastructure. For example, we started some work with Zeppelin but faced lack of maturity and documentation when trying to connect it to an existing Spark cluster. Jupyter and Spark notebook are also identified as potentially interesting but we did not invest sufficient time on these solutions.
The study should take into account aspects like tools capabilities (supported language, processing framework, visualization, collaboration, ease of use, security, administration…) but also data connectivity and confidentiality aspects.

In a second stage, this study should be completed with prototype implementation with showcases to demonstrate the interest of the chosen solution inside the company.

Requirements

· The candidate shall be curious, interested in Big Data ecosystem and autonomous in his work organization.
· The subject covers both data science and development / deployment activities. Although some knowledge of data science (statistics, machine learning) concepts is desired, it is mostly expected that the candidate is at ease with deployment / development activities in Big data context (typically Scala, Python language, Spark processing framework, deployment of processing jobs with Oozie and Yarn)

Any duplication and display of partial or full content of our job advertisement on any support, such as brochures, websites, mail, emails, this list is not exhaustive, isstrictly forbiddenwithout prior formal Amadeus’ authorisation.

Recruitment agencies:Amadeus does not accept agency resumes. Please do not forward resumes to our jobs alias, Amadeus employees or any other company location. Amadeus is not responsible for any fees related to unsolicited resumes.