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Java Developer, Geospatial data analytics startup

Java Developer, Geospatial data analytics startup

  • Location

    London, United Kingdom

  • Sector:

    Development

  • Job type:

    Permanent

  • Contact:

    Tim Dobie

  • Job ref:

    5707

  • Consultant:

    #

Java Developer, energy trading geospatial efficiency company

This is a unique opportunity to join a well-funded, revolutionary analytics technology company focused on the energy trading industry.

Description:

As a full stack Java Developer, you will be responsible for development of the platform which engages in large scale geo-spatial data processing and machine learning models. This role will require strong coding skills as well as outstanding experience and talent in building real-time production data systems.

You will work closely with the product owner, data engineers, front end developers as well as data scientists to define and implement a superior architecture through a highly iterative, evolutionary approach.

Skills/Qualifications:

  • Strong Java development skills, server side bias but front end experience in Javascript is useful.
  • hands-on experience with data tools, preferably incorporating multiple real-time, complex streaming data sources
  • Ability to take on and assimilate new ideas, assess the technology landscape and identify useful solutions, a creative thinker and team worker
  • Experience of building large scale geo-spatial data processing systems
  • Strong experience integrating external APIs and a large number of data sources
  • Ability to produce clean, modular, unit-tested code accompanied with solid understanding of design patterns
  • Excellent understanding of best engineering practices to building human-fault-tolerant deterministic data pipelines, handling and logging errors, monitoring, continuous integration, automated deployment, managing databases and maintaining data cleaning.
  • Solid experience using Linux, Java, SQL, ElasticSearch and AWS. Bonus areas are R, Scala, Kafka, Docker, Hadoop and Spark.