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Big Data Engineer

Negotiable
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PLEASE CONTACT

DANIEL DOWLING

An opportunity has arisen for a Big Data Engineer to work for a Banking client in London. This is a contract position.

The role:

Big Data Engineer will be part of the big data technology team. You will be responsible for developing solutions/design ideas, identify design ideas to enable the software to meet the acceptance and success criteria. Work with architects and Business Analysts to build data component on the Big data environment.

Key requirements:

  • Experienced in Java, Scala and/or Python, Unix/Linux environment on-premises and in the cloud Java development and design using Java 1.7/1.8. Advanced understanding of core features of Java and when to use them
  • Experience with most of the following technologies (Apache Hadoop, Scala, Apache Spark, Spark streaming, YARN, Kafka, Hive, HBase, Presto, Python, ETL frameworks, MapReduce, SQL, RESTful services).
  • Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Pig, Spark, Spark SQL.
  • Must have experience with developing Hive QL, UDF’s for analysing semi structured/structured datasets
  • Experience with time-series/analytics db's such as Elasticsearch
  • Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA

If you are interested, please send an up to date CV to ddowling@mcgregor-boyall.com

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

 

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