In this context, the mission is to design, document, develop and test a whole new platform consisting of multiple applications running on Azure cloud to shape the future travel in B2B market using cutting edge technologies.

    You will contribute to the design and implementation the TCP architecture and data models in Azure cloud, and in the meantime to ensuring the GDPR compliance of the new product. You will design how to collect and analyze traveler data in the TCP platform. On one hand, you may also need to create adaptive machine learning algorithms to gain better insights from traveler data and boost the capability of the platform. On the other hand, you will need to set up the big data platform to be able to better present analysis results and ease the reporting and decision making.

    Designing and implementing distributed and robust database for huge data volume will be part of your job as well.

    During development and deployment of the new platform, a specific care must be taken to ensure its maintainability. KPIs on platform performances will be set to ensure that what is delivered goes in the right direction.

    To successfully deliver this platform, a close interaction with our business team, QA and other DEVs is necessary. You will need to know the business context and the added value of the platform. You also need to quickly integrate into the tech team and work in agile.

    As the project is key in the business target, we expect

    -A team player that can easily communicate with peers.

    -An agile mindset to help the scrum team deliver and bring solutions to problems.

    -Enough expertise to support our dev team and progress in delivering our key objectives.

Responsibilities / Tasks

Big Data Engineering: Spark, Hadoop ...

    Test and maintain production software

    Comprehensive statistical knowledge

    Strong knowledge in the application of Machine Learning

    Experience with common data science toolkits

    Software automatic deployment using CICD pipelining and Gatekeeping with QA validation

    Docker Microservices orchestrated by Kubernetes

    English communication in an international environment

    Distributed database (SQL/NoSQL) is a plus

    Azure Dev Ops is a plus

    Deliverables

    Design and implement the TCP architecture and data models in Azure cloud

    Ensure the GDPR compliance of the new product

    Create adaptive machine learning algorithms to gain better insights from traveler data

    Set up the big data platform to be able to better present analysis results and ease the reporting and decision making

    Design and implement distributed and robust database for huge data volume

Skills and Profile

Qualification / General Profile

Data Engineering : Skilled

    Data science : Skilled

    Machine Learning : Skilled

    Big Data Engineering: Spark, Hadoop : Skilled

    Docker : Experienced

    CICD : Experienced

    Scala : Experienced

    Java : Experienced