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Popular mid-level Data Engineer role, metro hiring, and 2–5 years experience increase applicant competition.
Data engineering skills are transferable across industries though Azure/Fabric specialization reduces portability.
Explicit 2+ years plus mandatory Azure/Data Engineering skills tighten filters.
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Design, develop, and optimize scalable data pipelines and ETL processes using Microsoft Fabric and Azure Data Factory.
Implement and support end-to-end data warehousing solutions, including data modeling and lifecycle management.
Collaborate with stakeholders to meet data requirements, ensuring data integrity, security, and governance in cloud environments.
Minimum 2 years experience in Data Engineering.
Proficiency in SQL with performance tuning and stored procedures.
Experience with Microsoft Fabric, Azure Data Factory, and Azure Portal for cloud data management.
Bachelor’s degree in Computer Science or equivalent practical knowledge/experience.
Experienced in designing and optimizing data pipelines within Azure ecosystems, including Microsoft Fabric and Azure Data Services.
Skilled in data warehousing concepts such as star/snowflake schema, indexing, and partitioning for analytics.
Comfortable working in collaborative, cross-functional teams delivering data solutions for enterprise use.