Splunk Data Systems Engineer with Hadoop job in London

Description

Splunk Data Systems Engineer with Hadoop jobs in London

Our client is creating a data platform team to support their data projects. The Data Systems Engineer will support and develop the platform, working with developers, architects, data scientists, researchers and business analysts.

The client operates on the financial markets.

Core functions include:

1.Operational support and development of Splunk and Hadoop.

2.Meet high availability requirements using clustering and replication technologies.

3.Monitoring systems for availability, performance and capacity.

4.Securing systems and policing data access.

5.Meeting compliance requirements for protecting sensitive data.

6.Creation and maintenance of documentation.

7.Splunk index lifecycle management.

8.Developing Splunk apps and dashboards.

9.Developing custom search commands in Python, Ruby or PHP.

10.Integrations with external data sources.

Essential Experience:

- Production experience of implementing and supporting either Hadoop and/or Splunk.

- Understanding of data governance concepts, data science and analytics, MapReduce and transactional analysis.

- Experience with relational databases such as PostgreSQL, MySQL and Oracle.

- Creation and maintenance of shell and system scripts.

If you've got experience with Splunk and Hadoop, please send in a CV.