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Mid-level generalist data role in a metro with established employer increases candidate competition.
Database and SQL skills are highly transferable across industries, so background fit sensitivity is low.
Explicit 3–5 years and strong SQL/Azure database requirements create moderately strict filters.
Design, develop, and maintain database layers for a cloud-based Azure application, including schema updates and performance optimization.
Define and maintain audit trail and data logging strategies to ensure data change tracking, issue investigation, and historical visibility.
Investigate and resolve complex data-related issues via analysis, root cause identification, and collaboration with product and development teams.
3–5 years experience in Data Engineering, Database Development, or SQL-focused engineering roles.
Strong hands-on experience with SQL and relational databases; Azure SQL Database experience preferred.
Solid understanding of database design, data modeling, indexing, query optimization, and data integrity principles.
Experience with Azure cloud services, including Azure SQL Database; familiarity with Agile/Scrum and CI/CD using Azure DevOps is a plus.
Experienced in managing and optimizing databases within cloud environments, especially Azure.
Capable of independently driving database-related projects and implementing scalable data solutions aligned with business needs.
Experienced in collaborating cross-functionally in Agile teams to support application lifecycle and operational efficiency improvements.