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Mid-level data engineer in popular stack with metro hiring attracts high applicant density.
Data engineering skills transfer across industries but Microsoft Fabric/Azure focus makes fit moderately sensitive.
Explicit 2+ years plus mandatory Azure/Microsoft Fabric/ADF/SQL stack creates moderately strict filters.
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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 including end-to-end data lifecycle management with strong focus on data modeling and governance.
Collaborate with cross-functional teams to build data models for analytics, ensure data integrity, and troubleshoot/optimize cloud-based data workflows.
Bachelor’s degree in Computer Science or equivalent practical knowledge/experience.
Minimum 2+ years of experience in Data Engineering roles.
Mandatory skills: SQL (complex queries, performance tuning), Microsoft Fabric, Azure Data Factory, Data Warehousing concepts (star/snowflake schema, indexing, partitioning).
Familiarity with Azure Data Services (Azure Synapse, Azure SQL Database, Azure Storage) and Azure Portal for resource management and monitoring.
Experienced in designing scalable cloud-based data pipelines within Microsoft Azure ecosystem using Fabric and Azure Data Factory.
Demonstrates strong expertise in data modeling, governance, and managing large-scale data warehousing solutions with emphasis on performance optimization.
Comfortable collaborating with multiple stakeholders to translate data requirements into technical solutions and supporting continuous improvements in data infrastructure.