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Microsoft Fabric Data Support Engineer
Accenture
Sydney, AUS
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 weeks ago
Microsoft FabricMicrosoft FoundryMicrosoft 365DataverseSQLAzure
Free
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Microsoft FabricMicrosoft FoundryMicrosoft 365
Role Overview
Avanade is growing, and we seek motivated and engaged technology professionals to join our Managed Services team delivering continuous value to our client’s businesses. We are seeking a Microsoft Fabric Data Support Engineer who can support, maintain , and improve data and analytics solutions using the Microsoft Fabric platform. You will work with business and technology stakeholders to keep data pipelines, lakehouses , warehouses, semantic models, notebooks, reports, AI/ML workloads, and operational insights reliable, secure, and fit for purpose , with Microsoft Foundry capability used to extend AI, machine learning, and intelligent data outcomes where needed.
Key Skills for This Role
Microsoft FabricMicrosoft FoundryMicrosoft 365DataverseSQLAzure
Full Job Posting
Summary
Avanade is growing, and we seek motivated and engaged technology professionals to join our Managed Services team delivering continuous value to our client’s businesses. We are seeking a Microsoft Fabric Data Support Engineer who can support, maintain , and improve data and analytics solutions using the Microsoft Fabric platform. You will work with business and technology stakeholders to keep data pipelines, lakehouses , warehouses, semantic models, notebooks, reports, AI/ML workloads, and operational insights reliable, secure, and fit for purpose , with Microsoft Foundry capability used to extend AI, machine learning, and intelligent data outcomes where needed.
Core to the Role
Support, monitor, test, and improve Microsoft Fabric data solutions, including pipelines, lakehouses , warehouses, semantic models, notebooks, and reporting assets across business teams and user groups.
Assess business data support needs, source systems, data quality, technical constraints, incidents, and readiness for new data and analytics solutions.
Create practical support models, data solution designs, runbooks, remediation plans, and stakeholder engagement materials.
Support Fabric items, data engineering workloads, Data Factory pipelines, lakehouse and warehouse assets, notebooks, semantic models, and workspace content.
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