Internship: Production automated analysis (43441)

Job description

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.

Team description:

Amadeus Reservation, Distribution & MBO- Front Office Reservation (RDM-FOR) develops Airline, Corporate and Travel Agent products for booking trips online. The products run on J2EE servers by distributing content providers (Amadeus and other Global Distribution Systems, Rail, hotel), the interface is web based (HTML) based on the different internal frameworks.

Travel Management Solutions (TMS) team is the Quality & Delivery Service (QA) team validating releases and production fixes of Aetm (ETravel management).

The corporate tool called ETravel management allows company to manage the business trip of their employees. It is highly configurable. Each customer can connect to several external systems and more specifically for WebFares, TravelFusion, LACA, etc…

Main Responsibilities:

Study and propose a solution to provide QA team a means to have an automated analysis of production traffic on several customers, to compare it with an existing base of data and provide a way to easily describe the differences. The finality is to integrate them in the campaign for the next release.

Once the study is finished, implement the solution and work with QA team for validation of the solution.

As described, this subject will focus on a study to industrialize/automate the update of regression campaign based around customers behaviour in production.

The team has recently created new regression campaigns based on the statistics of production of our customers, mostly on the volume of reservations and functionality used by them. We have cross referenced this information to find an ideal coverage. This analysis was long and fastidious and we will need to redo this every 2 months.

As an example, the analysis can show that a customer with X booking representing n% of the total volume of booking has a functionality Y that is used by t% of the total customers. X being in thousands, Y in hundreds.

This analysis needs to be industrialized as much as possible. Different approaches can be considered and it can be with code or more simply (SQL, Excel Macro, Java, …) as long as it can be done in a day.

Desired profile

Requirements:

· Good Java knowledge, Web2.0, HTML, JSP, Angular, J2EE, ARIA, Eclipse, Jibx, XML centric, Maven, tiles, SQL,
· Good communication
· Motivated
· Interested in research subjects linked with software applications
· Good English

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