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Popular mid-level Data Engineer in metro with common Azure skills increases applicant competition.
Core data engineering skills are transferable, though Azure/Fabric specificity moderately narrows industry fit.
Explicit 2+ years plus mandatory Azure, Fabric and ADF skills impose moderate filtering.
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Design, develop, and optimize scalable data pipelines and ETL processes using Microsoft Fabric and Azure Data Factory.
Implement and manage data warehousing solutions supporting end-to-end lifecycle management and analytics.
Collaborate with stakeholders to build data models and ensure data integrity, security, and governance aligned with best practices.
Bachelor’s degree in Computer Science or equivalent practical experience.
Minimum 2 years of experience in Data Engineering.
Strong expertise in SQL, including query tuning and stored procedures; proficiency in Microsoft Fabric and Azure Data Factory for ETL workflows.
Working knowledge of Azure Portal for cloud resource management and monitoring.
Experienced with data warehousing concepts including star/snowflake schema, indexing, and partitioning.
Capable of troubleshooting and optimizing cloud-based data workflows with strong analytical and problem-solving skills.
Familiar with Azure Data Services (Synapse, SQL Database, Storage) and has practical understanding of Microsoft Fabric within analytics contexts.