Big Data Engineer - Hadoop

Advertiser
Harnham
Company
Harnham
Date Posted
2nd September 2017
Reference
23015/RW
Job Type
Permanent
Location
London
Salary
£40,000 to £80,000 Per Annum

Big Data Engineer - Hadoop, Java, Scala, Python
London
£80,000 + Bonus

A Global Consultancy with an advanced analytics team over 100 strong in the UK alone are looking for Big Data Engineers to design and develop big data platforms for their numerous clients across sectors. You will work end to end on projects, from the evaluation of requirements, strategic input, and hands-on development of the solutions. This is a great opportunity to build some of the largest Hadoop data platforms around, and get exposure to solutions using different technology stacks in different sectors, in both streaming and batch models. You will work with Hortonworks, AWS, and Cloudera platforms depending on the projects, and the client can be flexible on programming languages (Java, Python, Scala).

THE ROLE AND RESPONSIBILITIES

As Big Data Engineer, you will:

  • Design and Develop Hadoop based Big Data Platforms across all stages of the development lifecycle
  • Work with Hortonworks, Cloudera, and AWS platforms
  • Program using Java, Scala, or Python
  • Work with clients to ensure best practice in the development of the platform
  • Leadership and mentoring of more junior consultants in the Big Data team
  • Drive best delivery practice in Agile and Dev Ops environments

YOUR SKILLS AND EXPERIENCE

To qualify for this Big Data Engineering role, you will need:

  • A strong background in Software Development (Java, Scala, Python)
  • Experience in the development of a Hadoop based data platform in production
  • Familiarity of Hadoop ecosystems, with any vendor
  • Experience in development of ETL pipelines
  • Great knowledge of Agile best practice and Dev Ops

HOW TO APPLY

In order to apply for this Big Data Engineering role, please do so via this site. For more information reach out to Ross at Harnham.

KEYWORDS: Java, Scala, Python, ETL, Data Engineer, Hadoop, Spark, Big Data

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