On-site
Full Time
We are seeking an experienced SQL Developer with 8 +years of proven expertise in designing, developing, and optimizing enterprise-level databases. The ideal candidate will have strong command over T-SQL, legacy refactoring, and modern database practices, with the ability to collaborate closely with cross-functional teams. This role will focus on ensuring high performance, scalability, and maintainability of databases that support mission-critical applications.
Develop, optimize, and maintain complex SQL queries, stored procedures, views, functions, and triggers using T-SQL.
Analyze and refactor legacy stored procedures to improve performance, maintainability, and scalability.
Design normalized and scalable database architectures aligned with business requirements.
Perform data modeling, schema design, and schema evolution to support application growth.
Conduct performance tuning and troubleshoot bottlenecks using tools such as SQL Profiler and Extended Events.
Collaborate with .NET/API teams to ensure seamless integration between application and database layers.
Break down monolithic SQL codebases into modular, maintainable components during modernization initiatives.
Implement database decoupling strategies to support microservices and bounded contexts.
Ensure data integrity and consistency during migration and modernization projects.
Manage schema changes, migrations, and rollbacks using tools like Flyway, Liquibase, or SSDT.
Contribute to Agile/Scrum ceremonies including sprint planning, backlog grooming, and code reviews.
Leverage AI tools (e.g., GitHub Copilot) to document SQL code, generate boilerplate scripts, and suggest optimizations.
Performance Tuning: Experienced in identifying and resolving bottlenecks using tools like SQL Profiler and Extended Events
Agile Practices: Experience in Agile/Scrum teams, participating in sprint planning, backlog grooming, and code reviews
Additional Skills for Legacy Monolithic Applications
Experience with Azure SQL Database or Azure SQL Managed Instance
Familiarity with DevOps scripting and automation tools
Experience designing data access layers with Entity Framework or Dapper
Exposure to the Azure ecosystem beyond SQL
Understanding of event-driven/distributed systems and how they interact with relational databases
Experience with replication, sharding, or partitioning strategies in large-scale environments
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