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Strong employer brand, mid-level generalist data role, and common 2–5 year experience amplify competition.
Core data engineering skills are transferable, though Azure/Fabric focus moderately increases domain specificity.
Explicit 2+ years plus mandatory Azure, Fabric, and data warehousing skills enforce strict technical filters.
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Design, develop, and optimize scalable data pipelines and ETL processes primarily using Microsoft Fabric and Azure Data Factory (ADF).
Implement and manage data warehousing solutions, ensuring data integrity, security, and lifecycle management following best practices.
Collaborate with cross-functional teams to build data models supporting analytics and reporting while troubleshooting and enhancing cloud-based data infrastructure.
Bachelor's degree in Computer Science or equivalent practical experience.
At least 2 years of work experience in Data Engineering with expertise in SQL, data warehousing concepts, and Azure-based tools.
Proficiency with Microsoft Fabric, Azure Data Factory (ADF), and Azure Portal for resource monitoring and management.
Familiarity with Azure Data Services such as Azure Synapse, Azure SQL Database, and Azure Storage.
Experienced in building and optimizing ETL workflows on Microsoft Fabric and Azure platforms with strong hands-on SQL skills.
Capable of handling data modeling, governance, and metadata management within cloud environments.
Comfortable working in cross-functional teams and troubleshooting end-to-end data pipeline issues to support decision-making and analytics needs.