Azure Platform Engineer (Data & Analytics) at Softtest pays pty ltd

About this role

Australian Citizens residing in Australia with ability to obtain Baseline Clearance only respond.
Contract start 07 August 2023 to 12 months, 2 x 12 months extensions.
Australian Citizen, Ability to obtain Baseline Clearance, Canberra, Offsite role.
Send your responses to Overview The Enterprise Analytics and Technology Services (EATS) section in the Department of Agriculture, Fisheries and Forestry (DAFF) are looking for a is looking for Azure Platform Engineers who have experience in managing cloud hosted infrastructure using infrastructure as code in support of data and analytics workloads. The roles will be responsible for the detailed solution design, development, and implementation of infrastructure in Azure in support of data and analytics workloads. These outcomes are delivered using an infrastructure as code deployment model using Terraform and the successful candidate with require experience with the following platforms and technology: Azure Cloud Azure hosted Data and Analytics Platforms such as
Data Lake
SQL Databases
Azure Databricks
Synapse Analytics
Azure security features such as

Networking
Identity and Access Management
Policy

Infrastructure as Code

Terraform based infrastructure management
Azure DevOps CI/CD Pipelines

Infrastructure as a Service hosted platforms

ArcGIS Enterprise
Virtual Machine hosted services

Desirable - Experience with legacy data technology solutions Oracle, Ingres, SQL Server, Wintel Server Network file shares
Initial contract period is 12 months. Preference is for candidates to hold a valid negative vetting level 1 security clearance. Every application requires to address selection criteria as part of application submission. Essential criteria 1. Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform and Software as a Service) 25 % 2. Experience developing, implementing, and supporting cloud infrastructure using an infrastructure as code (IaC) approach 25 % 3. Understanding of cloud security features for platforms and services such as Identity and Access Management, Networking and Policy 20 % 4. Experience working in Data and Analytics focused projects (Data Engineering, Storage or Data Science) 15 % 5. Working with multi-disciplinary teams using an Agile methodology 15 % Desirable criteria 1. Experience work with Data Lake 2. Experience working with Geospatial platforms Originally posted on Himalayas