
Senior SQL Developer
7 hours ago
Job Title: SQL Developer
Experience Level: 7 to 10 Years
Employment Type: Full-Time
About the Role:
We are seeking a seasoned SQL Developer to lead the design, optimization, and modernization of our data infrastructure. This role is critical to supporting our large-scale, event-driven platform built on .NET and Azure. The ideal candidate will have deep expertise in SQL Server, Azure data services, Kafka, and Databricks, with a strong background in performance tuning, data migrations, and legacy system modernization.
Key Responsibilities:
Architect and maintain scalable, secure, and high-performance SQL Server databases for enterprise-grade applications
Design and implement event-driven data pipelines using Kafka, Azure Event Hubs, and Databricks
Lead data migration efforts to modernize implementations for High Availability.
Collaborate with backend engineers to optimize data access patterns and ensure seamless integration with .NET services
Perform advanced SQL performance tuning, indexing strategies, and query optimization. And other performance tuning techniques on the DB level and application level along with scaling strategies like sharding, partitioning, and replication
Define and enforce data governance, security, and compliance standards
Implement high availability, disaster recovery, and backup strategies
Work with DevOps to automate database deployments and manage infrastructure as code
Conduct capacity planning, monitoring, and troubleshooting of production environments
Mentor developers and DBAs on best practices for database design and usage
Required Skills & Qualifications:
710 years of experience with Microsoft SQL Server, including SSIS, SSRS, and T-SQL
Strong experience with Azure SQL, Azure Synapse, Azure Data Factory, and Databricks
Hands-on experience with Kafka or similar event streaming platforms
Proven track record in legacy system migrations and data modernization
Deep understanding of database performance tuning, query optimization, and execution plans
Experience with .NET-backed systems and integration with ORM tools like Entity Framework
Or experience working closely with .NET teams to ensure optimal data access patterns
Familiarity with CI/CD pipelines for database deployments (e.g., Azure DevOps, Flyway)
Strong knowledge of data modeling, normalization, and schema design
Excellent problem-solving skills and ability to work in cross-functional teams
Nice to Have:
Experience with real-time analytics and stream processing using Databricks Structured Streaming
Familiarity with feature flagging and configurable data-driven architectures
Exposure to NoSQL databases like Cosmos DB, MongoDB, or Redis
Knowledge of data observability tools like SQL Sentry, Redgate, or Grafana
Contributions to technical blogs, whitepapers, or open-source projects
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