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Common mid-level data engineer role in metro with a recognized brand increases applicant competition.
Core data engineering skills are transferable, though Azure/Microsoft Fabric emphasis raises domain specificity somewhat.
Explicit 2+ years plus mandatory Azure/Microsoft Fabric skills make filtering moderately strict.
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Design, develop, and optimize ETL data pipelines using Microsoft Fabric and Azure Data Factory (ADF)
Implement and support data warehousing solutions, managing the full data lifecycle, including data modeling for analytics
Manage and monitor cloud-based data infrastructure via Azure Portal, troubleshoot and optimize data workflows
Bachelor’s degree in Computer Science or equivalent practical experience
2+ years experience in Data Engineering
Strong expertise in SQL including query performance tuning and stored procedures
Proficiency with Microsoft Fabric, Azure Data Factory (ADF), and knowledge of Azure Portal for resource management
Experienced with scalable ETL pipeline development on Azure cloud ecosystems and Microsoft Fabric environment
Knowledgeable in data warehousing concepts like star/snowflake schemas and data governance practices
Capable of cross-functional collaboration to deliver data models and pipeline solutions for analytics and reporting