ASAP Start | Canberra Location

Initial contract for 12 months with 12 months extension

Current NV1 clearance

Summary:

A federal government client is seeking experienced Azure data platform engineers to drive the design, implementation and maturing of the department's cloud-based data analytics infrastructure for key data-centric projects

The key responsibilities include:

• 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 procedures;
• Design, develop and mature the infrastructure to support hybrid data and analytics projects, integrating cloud and on-premise hosted services;
• Ensuring that data and code access to platform users is always securely maintained on a daily basis;
• Work as a part of an application delivery team on project-based objectives to drive delivery of outcomes; and
• Work under limited direction and be accountable for undertaking planning, analysis, design, development, and delivery activities within tight timeframes.

The successful applicant would be required to have:

• 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.
• 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.
• Highly effective communication skills with an ability to explain complex concepts and issues to non-technical audiences.
• Demonstrated ability to work under limited direction and accountable for completion of work.
• Demonstrated ability to guide, lead, and work closely and effectively within an Agile multi-disciplinary team environment including liaising with diverse stakeholders.
• Demonstrated ability to adapt and work in a constantly changing environment.
• Experience with machine learning frameworks and libraries.
• Experience with the deployment and maintenance of machine learning models.

About the Company:

FinXL fosters a high-performing, inclusive workplace built on a foundation of excellence, respect and dignity. We take corporate social responsibility seriously through our ongoing activities with communities and staff involvement in these efforts. We are committed to environmentally friendly practices in both our own operations and our work with clients.

To be considered please send applications or contact Chins on 02 6243 6409 to discuss further.

FinXL does not accept unsolicited resumes or appreciate unsolicited calls from recruitment agencies.

FinXL encourages applications from Aboriginal and Torres Strait Islander people.