Software Data Engineer - Big Data Technologies

Networking People
£55000 - £65000 per annum + Bens
13 Nov 2017
16 Nov 2017
Contract Type
Full Time
Software Data Engineer - Big Data Technologies

Leading technology business is seeking and experienced Software Data Engineer due to continued growth.

This is an exciting opportunity to join their Data Engineering team, working on our project to migrate client's data portfolio onto the next generation data platform built around the latest Google Big Data and Cloud technologies.

They are looking for a Software Data Engineer to complete their Agile team of 6 developers as they continue the development of this technically challenging migration.

  • Prototyping solutions using the latest data and Big Data technologies
  • Aiding other development teams to deliver data onto client's new cloud-based data platform using the latest data integration technologies
  • Collaborating with our Data Science team over innovative paradigm changing models
  • Developing low latency data capture and analysis solution to enable near real-time business insight
  • Facilitating change within company so that Data is democratic, agile and the core of every decision

Skill Required:
  • Demonstrable experience of Big Data technologies including any of Google Cloud Platform, Google Dataflows, Google BigQuery, Hadoop ecosystem (HBase, Pig, Sqoop etc) Spark at the enterprise level
  • Commercial development experience using programming languages such as Java, Python or Scala
  • An understanding and some experience of Agile software development.
  • Knowledge of how to architect and use Enterprise Bus/Data Integration solutions.
  • Experience of NoSQL databases like Cassandra and MongoDB
  • Pragmatic, but with a keen eye for detail

  • Experience of trying, failing, learning and succeeding
  • Strong knowledge and experience of data-warehousing strategies and how they transfer to large data problems
  • Demonstrable experience in creating reporting layer data objects for analytical reporting tools such as Tableau, Qlikview, SAS, Power BI
  • Exposure to environments where businesses have become data driven
  • Experience of Big Data technologies applied in an online retail environment for developing data warehousing solutions.
  • Demonstrable commercial understanding and how that relates to opportunities in data and analytics

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