Description

You will architect and maintain scalable data integration pipelines, data models, and analytics solutions within the Microsoft Fabric ecosystem.

This role is hybrid.

Responsibilities

• Design and build resilient data integration pipelines using Azure Data Factory, Azure Functions, Logic Apps, and Microsoft Fabric Dataflows Gen2 to ingest structured and unstructured data.
• Develop Medallion Architecture data models in Microsoft Fabric Lakehouse and Data Warehouse using Kimball dimensional modeling techniques.
• Create and manage Power BI semantic models, reports, and dashboards using Power Query and DAX, implementing Row-Level Security for cross-functional access.
• Implement CI/CD pipelines in Azure DevOps, conduct code reviews, and maintain data dictionaries and metadata catalogs for governance.
• Monitor platform health, optimize pipeline performance, and resolve data incidents to ensure operational stability and cost efficiency.

Required Skills

• 3+ years of experience with Microsoft Fabric, including OneLake, Dataflows, and Notebooks (PySpark/SparkSQL).
• Proficiency in Azure Data Factory, Azure Functions, and Azure Data Lake storage.
• Expert-level knowledge of Power BI, including DAX, Power Query, Direct Lake mode, and capacity management.
• Strong Python programming skills for data engineering and analytics tasks.
• Experience with Agile methodologies and CI/CD practices using Azure DevOps.
• BS/BA degree in Computer Science, Mathematics, Statistics, or a related technology field.
• Ability to design scalable data architectures and implement governance standards.

Preferred Skills

• Experience with AI/ML engineering best practices and implementing predictive analytics solutions within Fabric.
• Familiarity with .NET codebases and advanced data lifecycle frameworks.

Key Skills

Education

Not specified