





Strong employer brand, mid-level generalist backend role, and metro location increase applicant competition.
Requires Microsoft stack and data engineering experience, moderately transferable across industries.
Explicit 5–8 years plus mandatory Azure, .NET, and data engineering skills make filters highly selective.
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Design, develop, deploy, and maintain scalable .NET applications using Azure cloud services and Microsoft Fabric for data engineering.
Build and optimize data pipelines, ETL processes, and data integration solutions leveraging Microsoft Fabric components like Data Factory and Lakehouse.
Integrate and automate deployments using Azure DevOps pipelines and ensure application performance monitoring and security best practices.
Bachelor's degree in Computer Science, Engineering, or related field.
5–8 years of professional experience as a .NET Developer.
Proven expertise in C#, .NET Core, ASP.NET MVC, Web API, and hands-on experience with Microsoft Azure services (App Services, Functions, Storage, Azure SQL, Azure AD).
Experience with Microsoft Fabric for data pipelines and strong knowledge of data engineering concepts including ETL, data modelling, and data warehousing.
Experienced in cloud-native application development with deep understanding of Azure ecosystem and Microsoft Fabric data integration.
Skilled in implementing and optimizing deployment pipelines using Azure DevOps and monitoring solutions like Azure Monitor and Application Insights.
Strong database design and security implementation capabilities aligned with best practices in enterprise applications.