Address
Form of work- Multi-year engagement (9 + 12 + 12 month term)
- Canberra candidates preferred, hybrid and remote working options available
- Candidates must be Australian citizens
- Baseline Security Clearance required (can be obtain in role)
The role
Our Federal Government client is seeking experienced Azure Data Platform Engineers to drive the design, implementation and maturing of the department's cloud-based dataanalytics infrastructure for key data-centric projects.You will be required to:
- Conduct data modelling on existing and emerging transactional and business intelligence data assets to inform data architecture.
- Develop, implement, and review data-related infrastructure, processes, and procedure.
- Design, develop and mature the infrastructure to support hybrid data and analytics projects, integrating cloud and on-premises hosted services.
- Ensuring that data and code access to platform users is always securely maintained daily.
- Work as a part of an application delivery team on project-based objectives to drive delivery of outcomes.
- Work under limited direction and be accountable for undertaking planning, analysis, design, development, and delivery activities within tight timeframes.
Azure Platform experience:
- Documented minimum of 5 years' experience in defining, developing, configuring, documenting, and maturing Microsoft cloud platforms comprising of Data Factory, SQL Server, Databricks.
- Extensive experience in developing automated build and deployment pipelines using YAML, ARM templates and PowerShell.
- Experience in the development and maintenance of DevOps continuous integration (CI) and continuous deployment (CD) pipelines.
- Experience with or knowledge of Azure Cloud assets, particularly PAAS assets.
- Coding experience in at least one programming scripting language such as Python, R, C Sharp/C++, Powershell.
Data modelling and/or data engineering experience:
- Documented minimum of 5 years' experience in data analysis and management, with excellent analytical problem-solving abilities.
- Documented, hands-on ETL development experience using Azure Data Factory.
- Strong knowledge of database structure systems, data analytics, data mining and data modelling techniques.
- Understanding of Machine Learning concepts.
- Demonstrated experience in DevOps and/or DataOps.
How to apply:
Please hit the apply button or for more information contact Fred Barnes at Randstad Digital on 0402 299 ***.
Randstad Digital actively encourages applications from Aboriginal and Torres Strait Islander people.
At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
