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Metro locations, popular data-engineer title, and broad Azure/Microsoft Fabric skillset increase applicant competition.
Data engineering skills transferable, but Microsoft Fabric/Azure emphasis raises industry specificity.
Mandatory 7+ years and specific Microsoft Fabric/Azure skills enforce strict shortlisting.
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Design, build, and maintain scalable, secure data integration and analytics solutions using Microsoft Fabric, Azure Data Factory, SQL Server, and related technologies.
Develop and optimize enterprise data pipelines, data warehouses, and ETL/ELT frameworks to support analytics, reporting, AI, and advanced analytics initiatives.
Participate in Specification-Driven Development, supporting CI/CD, monitoring, production operations, and continuous improvement of data platforms.
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 in Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, OneLake), Azure Data Factory, SQL Server with advanced T-SQL, ETL/ELT architecture, and dimensional modeling.
Experience with Azure cloud-based data engineering solutions and Agile delivery practices.
Experienced in designing and operating enterprise-scale data warehouse and analytics platforms with strong focus on Microsoft Fabric and Azure ecosystems.
Practices Specification-Driven Development and modern data engineering best practices including CI/CD, automation, and performance optimization.
Has knowledge or experience supporting AI, machine learning, generative AI, or advanced analytics initiatives integrated within data engineering solutions.