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Medium: metro hiring and general data demand, balanced by Microsoft Fabric specialization and senior 7+ years requirement.
Medium: core data engineering transferable, but Microsoft Fabric/Azure specialization favors cloud-focused enterprises.
High: explicit 7+ years requirement plus mandatory Microsoft Fabric, Azure, and advanced T-SQL skills.
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Design, build, and maintain scalable, secure enterprise data integration and analytics solutions using Microsoft Fabric and Azure cloud technologies.
Develop and optimize ETL/ELT frameworks, data warehouses, and data pipelines supporting analytics, reporting, and operational use cases.
Support Specification-Driven Development practices and contribute to AI-enabled data engineering initiatives including automation and advanced analytics.
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field, or equivalent practical experience.
7+ years of experience in data engineering, data warehousing, ETL/ELT development, or related disciplines.
Proficiency with Microsoft Fabric components (Lakehouse, Data Warehouse, Data Factory, OneLake), Azure Data Factory, and SQL Server with advanced T-SQL skills.
Experience designing and implementing enterprise-scale data warehouse and analytics platforms on Azure cloud with agile delivery experience.
Experienced senior-level data engineer with deep expertise in Microsoft Fabric and Azure-based data engineering solutions.
Familiar with Specification-Driven Development methodology emphasizing clear technical documentation, quality, and maintainability.
Capable of leading AI and advanced analytics data platform initiatives, improving data quality, scalability, and adopting modern engineering best practices.