Job Description – .NET C# Full stack Data Engineer (2-6 Years) Company Overview Nuaav is a boutique technology consulting firm delivering scalable, innovative, and secure solutions across full-stack development, data engineering, and AI/ML projects. We empower clients by combining deep technical expertise with a commitment to agility and quality, enabling ambitious digital transformation. Role Summary The .NET C# Full Stack Data Engineer is responsible for designing, building, and maintaining both the front-end and back-end of data-driven web applications with a strong focus on robust data engineering practices. The role will contribute to high-impact AI/ML data engineering projects, ensuring efficient data flow, pipelines, and application performance across the lifecycle. Key Responsibilities Develop, test, and maintain web applications using C#, .NET Core/.NET Framework, and modern front-end frameworks (Angular/React/Blazor, HTML, CSS, JavaScript). Design and implement scalable back-end APIs and services for data access, business logic, and ML model integration. Build, optimize, and manage data pipelines for ingestion, transformation (ETL/ELT), storage, and retrieval in both relational (SQL Server, PostgreSQL) and NoSQL (MongoDB, Cosmos DB) environments. Work closely with data scientists and analysts to integrate and deploy AI/ML models and data-driven features. Optimize queries and database performance, ensuring data integrity, reliability, and security throughout. Participate in solution architecture, system design, and development of scalable, robust cloud-enabled applications (Azure/AWS). Drive best practices for code quality, data engineering, and DevOps automation in a collaborative agile environment. Mentor junior developers, conduct code reviews, and contribute to an inclusive, learning-focused culture. Required Skills and Qualifications Expertise in C#, .NET Core/.NET Framework, and modern front-end technologies (Angular/React/Blazor, HTML, CSS, JavaScript). Extensive experience designing and managing relational and NoSQL databases; strong SQL skills. Practical knowledge in data engineering (ETL/ELT), data warehousing concepts, and cloud data services (Azure/AWS). Experience deploying and maintaining AI/ML models in production (integration with APIs, data pipelines, or microservices). Familiarity with version control (Git), CI/CD pipelines, testing methodologies (unit, integration), and design patterns. Strong understanding of data structures, algorithms, and modern software engineering practices. Excellent problem-solving, communication, and teamwork skills. Ability to adapt, learn, and apply emerging technologies. Why Work at Nuaav? Lead cutting-edge AI/ML and data engineering projects in a high-impact, client-focused environment. Collaborate with top-tier experts in data, engineering, and product domains. Flexible hybrid/remote work options. Accelerate your career as part of a boutique consultancy that values innovation, learning, and quality delivery. Location - Noida / Remote / Hybrid Employment Type - Full Time