NET C# Developer

complex SQL queries to interact with relational databases, optimize performance, and ensure data consistency. - System Design & Architecture: Participate in designing scalable, high-performance architectures for APIs and backend systems. - Code Quality: Write clean, maintainable, and well-documented code, following industry best practices and company standards. - Collaboration: Work closely with other developers, product managers, and QA engineers to deliver high-quality features on time. - Troubleshooting & Debugging: Identify, troubleshoot, and resolve technical issues, bugs, and performance bottlenecks in a timely manner. - Continuous Improvement: Stay up-to-date with the latest developments in .NET technologies, OData, Entity Framework, and SQL, and apply best practices to improve system performance, reliability, and scalability. Requirements - Proven Experience: 3+ years of experience in .NET C# development, with a focus on building APIs and working with web services. -

We are looking for a .NET C# Developer with expertise in building robust APIs using OData and Entity Framework. The ideal candidate will also have strong proficiency in writing efficient SQL queries and an understanding of best practices for data modeling, performance tuning, and security. As a part of our development team, you will work closely with cross-functional teams to design, build, and maintain scalable and secure APIs that integrate seamlessly with our services and data sources. Key Responsibilities - API Development: Design, develop, and maintain RESTful APIs with a focus on OData integration, enabling efficient querying and data retrieval. - OData Implementation: Utilize OData to expose data from various sources, allowing clients to query and manipulate data efficiently via HTTP requests. - Entity Framework: Work with Entity Framework to create, update, and query data models, ensuring efficient database interactions and optimal performance. - SQL Query Writing: Write, OData Expertise: Solid understanding and hands-on experience in implementing and consuming OData APIs. - Entity Framework: Experience working with Entity Framework to map data models to database schemas and interact with relational databases. - SQL Proficiency: Strong ability to write and optimize complex SQL queries and work with relational databases (e.g., SQL Server, PostgreSQL, etc.). - Web API Knowledge: Familiarity with RESTful API principles and experience working with technologies like JSON, HTTP, and Web API frameworks. - Version Control: Experience using version control systems like Git or SVN. - Problem Solving: Strong analytical and debugging skills, with the ability to troubleshoot and optimize code for performance and reliability. - Collaboration Skills: Excellent communication and teamwork skills to collaborate effectively with cross-functional teams. Preferred Qualifications - Cloud Experience: Familiarity with cloud platforms like Azure or AWS for hosting and scaling web applications. - Unit Testing: Experience writing unit tests and using frameworks like NUnit, MSTest, or xUnit. - Microservices: Understanding of microservices architecture and how APIs fit into distributed systems. - CI/CD: Familiarity with continuous integration/continuous deployment (CI/CD) pipelines and automated testing. - Real-Time Communication: Experience developing real-time applications and APIs using SignalR or similar technologies. - Messaging & Integration: Experience with Azure Service Bus or other enterprise messaging platforms for asynchronous communication and system integration. - Event-Driven Architecture: Understanding of event-driven architecture, messaging patterns, and distributed system design principles. - Event-Driven Development: Experience implementing event-driven solutions using queues, topics, publish/subscribe patterns, and asynchronous processing workflows. - Azure Ecosystem: Familiarity with Azure integration services and cloud-native development patterns, including messaging, event processing, and scalable backend services. - Experience leveraging AI-assisted software development tools such as Claude Code, GitHub Copilot, ChatGPT, or similar platforms to enhance developer productivity, code quality, troubleshooting, testing, and documentation. - Familiarity with modern AI-driven development workflows, including prompt-based code generation, code review assistance, refactoring, and automated test creation.