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Data Platform Engineer

  • 12 month contract with 12-month extension option
  • Australian Citizenship required – High level of Security Clearance highly regarded
  • Experience with Elasticsearch to deliver high speed search capabilities across large data assets.

About the role
The department is looking for individuals with a strong background in Elasticsearch architecture, installation, optimisation and automation including demonstrated experience working within project delivery teams. The candidate must be a motivated self-starter with strong technical abilities and initiative. You 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. You 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)

Role and responsibilities  
As a member of the team, you will work proactively to enhance and configure highly scalable, resilient, and observable data analysis platforms and analytic maturity. You will ensure delivered capabilities meet department mission area requirements and industry best-practices for automating build deployment and change management using DevOps and CI/CD patterns.
Skills and experience

  • 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.
  • High attention to detail with solid documentation skills and good client communication skills
  • Able to manage multiple, concurrent tasks with competing demand
  • High level of proficiency with design and build of observable data ingestion pipelines including serialisation, transformation, enrichment and store desirable

How to apply
If interested, please apply directly through the links provided. Alternately, please feel free to contact Wanya for more information.

Wanya Eggler
0452 542 463

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