About You
The successful applicant will apply agile methods to their work enabling their data engineer and cyber security analyst peers to work together more efficiently and effectively.
Our client is looking for individuals with a strong background in Elasticsearch architecture, installation, optimisation and automation including demonstrated experience working within project delivery teams.
The applicant must be a motivated self-starter with strong technical abilities and initiative. They will operate as a peer in a high performing technical team, and require strong organisational skills, attention to detail and be comfortable working in a dynamic and agile environment.
Applicants should have exposure across several of the following technologies and disciplines, and be able to demonstrate how they used them to generate business value:
- Elasticsearch (Elastic Stack or Open Distro)
- Data streaming technologies (Kafka, NiFi, Spark)
- Software development (Python, Scala, Java)
- Automation services (CI/CD platforms, Ansible, Puppet, Chef)
- Operating systems (Linux)
As a member of the cyber analytics data platform team, you will work proactively to enhance and configure highly scalable, resilient, and observable data analysis platforms considering mission areas requirements and analytic maturity. You will ensure delivered capabilities meet mission area requirements and industry best-practices for automating build deployment and change management using DevOps and CI/CD patterns.
You will have
- Demonstrated technical experience with Elasticsearch to deliver high speed search capabilities across large data assets.
- Highly developed technical skills across the build and optimisation of big data cyber security platforms covering the entire stack (hardware, Linux OS and applications).
- Experience designing, building, and supporting data lake technologies ensuring role-based access controls are enforced and audit is captured.
For more information or to apply, please contact Josie Bandiola on 02 9054 8710 quoting Job Reference: 241225
