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12.06.2019

Data Engineer (Sportsbook Application)

Sigma Software
IT-software Manufacturing

    Large volumes of data don't scare you off and you are hungry for complex tasks? Then we have a puzzle for you to solve. We are looking for a self-motivated Data Engineer to help us come up with an innovative data algorithm for a Sportsbook product.

     

    Project

    We are on a mission to build a middle layer of a Sportsbook for our Swedish client. It is a solution that gets sports data every few seconds from a data provider, structures this data, and saves it in a database. The layer has microservices in Node.js.

    Since the project involves a significant amount of data and requests, we expect you to go an extra mile in ensuring the impeccable performance of the software. We are following SCRUM methodologies in our work.

    Being in tight cooperation with a data warehouse specialist on our side, you will also engage with a team of developers on the customer's side. However, you will need to demonstrate a high level of autonomy and initiative while working on the project.

     

    Responsibilities:

    • Develop APIs to get data from the data provider and provide them to the client
    • Structure different types of data (long-term, real-time, etc.)
    • Select appropriate databases/warehouses and data structures to save the data
    • Introduce AI to provide personalized data for clients

     

    Requirements: 

    • Strong knowledge and experience in NoSQL databases, Couchbase is mandatory, since that's what is in use today
    • Experience with Data Warehouses
    • Ability to structure data in a maintainable and efficient way and define processes for how we work with related data
    • Node.js, C++, Java, or another back-end programming language

     

    Nice-to-haves:

    • Splunk experience
    • RabbitMQ knowledge
    • Experience in development of microservices and/or understanding of microservices architecture
    • Knowledge in machine learning, since we are going towards personalized/localized content as much as possible