Azure Data Engineer

Active Tree Services seeks an Azure Data Engineer for a 4–6 month contract to upgrade their data storage and reporting system to a cloud-based solution on Microsoft Azure.
This position offers a competitive daily rate and can be based in Adelaide or Melbourne, with remote work options available.

In this role you can expect to have the responsibilities:
Design, develop, and maintain data pipelines in Microsoft Fabric Manage and optimize Azure SQL Server, Azure Storage, and Azure Functions Develop and implement dynamic data pipelines and dynamic SQL Work with data lakes and build metadata-driven frameworks Collaborate with cross-functional teams for seamless system integration and deployment Ensure data security and compliance with industry standards This role comes with the following benefits:
This role requires you to have:
Minimum 3 years of experience as an Azure Data Engineer Proficiency in Azure Data Factory, Azure SQL Server, Azure Storage, and Azure Functions Experience with Python, Spark (Scala), and Spark SQL Proven experience working with data lakes Ability to build and work with dynamic data pipelines and dynamic SQL Experience with metadata-driven frameworks Highly efficient in a collaborative environment You would benefit from having:
Experience with Microsoft Fabric Experience working with Azure DevOps (CI/CD) Experience working with APIs Active Tree Services is an Australian family-owned company with 800 employees working nationwide in arboriculture and vegetation management.
They have a 45-year history and prioritize safety and community.

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