Backend Developer / Data Engineer

Role Overview

We are looking for a Backend Developer / Data Engineer with strong .NET and Python experience to build scalable backend services, APIs, data-processing components and integrations with the client's platform. The role will work across application, data, integration and AI use cases.

Key Responsibilities

• Design and develop scalable backend services and secure REST APIs using .NET / C# and Python.
• Build data-processing, transformation and validation components for structured and semi-structured data.
• Integrate internal and external systems using REST APIs, JSON/XML, files and messaging patterns.
• Design and implement reliable data ingestion and ETL/ELT workflows where required.
• Work with relational databases, write optimized SQL and support data modelling and performance tuning.
• Implement authentication, authorization, validation, error handling, logging and audit requirements.
• Develop asynchronous/background processing for long-running or integration-heavy workloads.
• Write clean, reusable and testable code with appropriate unit and integration tests.
• Troubleshoot API, integration, data-quality and performance issues across environments.
• Collaborate with solution architects, data architects, AI/data teams, frontend, integration, QA and DevOps teams.
• Support CI/CD, cloud deployment, production readiness and technical documentation.

Required Skills & Experience

• 4-8 years of hands-on software development experience.
• Strong experience in C#, .NET / ASP.NET Core and backend API development.
• Strong Python development experience; exposure to FastAPI, Flask or equivalent backend frameworks.
• Strong REST API and enterprise integration experience.
• Hands-on SQL and relational database experience, preferably SQL Server and/or PostgreSQL.
• Experience with data processing, ETL/ELT, data transformation and multi-source integrations.
• Understanding of asynchronous programming, concurrency and background processing.
• Experience with JSON, XML and file-based data exchange.
• Experience with Git, automated testing and CI/CD practices.
• Working knowledge of Docker and cloud platforms such as AWS or Azure.
• Strong troubleshooting, code-review and cross-functional collaboration skills.

Good to Have

• Experience with message queues or event-driven architectures.
• Experience with cloud data services, object storage and serverless components.
• Exposure to document processing, OCR or AI/LLM integrations.
• Experience with supply-chain, logistics or enterprise workflow applications.
• Knowledge of OpenAPI / Swagger and API security practices.

Working Style

• Strong ownership, analytical thinking and problem-solving approach.
• Ability to work effectively in an Agile, cross-functional delivery environment.
• Clear communication and willingness to collaborate with business and technical stakeholders.
• Focus on quality, maintainability, security and timely delivery.