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Data Platform Engineer (Java)

Java Big Data Engineer (Scala, Apache Spark, Kafka) London, City

I’m looking to speak with a talented Java Engineer who would be interested in joining a highly skilled team, to work build the back end to an award-winning data analytics platform.

This is a Big Data opportunity you will work directly with their clients (leading banks) traders, salespeople, technologists. My client’s technology uses machine learning, natural language generation, and natural language processing to provide real time and predictive analytics. My client knows the success has come  from their passionate teams who truly aim for the highest quality in their work.

Responsibilities

  • Get involved with the technology & data science teams to drive complex application requirements from conception to production
  • Write tests, API and deployment and production support documentation
  • Define and implement the process for software build and deployment
  • Define and implement our cloud-hosted model. Including deployment, support and security

Experience Required

  • Hands on Java development experience
  • Experience with observing, automation, deploying distributed systems, configuration management, continuous integration, database admin
  • Strong Bash scripting skills
  • Hands on experience with Jenkins, Docker
  • Comprehension of application architecture
  • Understanding of networking, security and cloud based infrastructure
  • Experience deploying and managing Apache Kafka, Spark, HDFS clusters

Learning / Training / Opportunity
If you were the successful candidate you will  join a team of highly skilled engineers and data scientists. The successful candidate will:

  • Get exposure to complete software development lifecycle using an agile delivery model
  • Gain experience on how to build and scale a successful start-up
  • Build tools for the use of the world' largest finance firms
  • Gain knowledge of financial products and complex financial analytics
  • Work with the data science team to create machine learning pipelines that mine massive datasets
  • Gain an understanding of machine learning and AI algorithms

 

Please get in touch with Bryn Heath at HarringtonStarr for more information