Job Requirements
About the Role
As a Back End Engineer within the Data & Analytics function, you will be responsible for developing and maintaining scalable, high-performance backend applications. You will work with asynchronous programming languages such as Python, Node.js, and Golang, contributing to architecture decisions, code quality, and productization of AI-driven solutions. This role involves close collaboration with cross-functional teams to ensure seamless integration and optimal performance across systems.
Key Responsibilities
Primary Responsibilities
Design, build, and maintain efficient, reusable, and reliable backend code using design patterns and asynchronous programming.
Collaborate with Frontend Engineers, Data Scientists, Data Engineers, ML Engineers, and Software Developers to support model development and productization.
Ensure optimal performance, quality, and responsiveness of backend applications.
Identify and resolve bottlenecks and bugs, optimizing code and database queries.
Stay updated with full-stack technologies and emerging tools,



especially React and Python.
Contribute to backend and frontend end-to-end implementation.
Secondary Responsibilities
Ensure code consistency and quality by adhering to best practices in Python, Node.js, and Golang development.
Conduct thorough code reviews and collaborate with team members to improve standards and maintain high code quality.
Managerial and Leadership Responsibilities
Provide guidance and mentorship to junior developers, supporting their qualified growth.
Lead by example in writing maintainable, performant, and sophisticated code.
Inspire innovation within the backend development team by adopting efficient and modern practices.
What We Are Looking For
Education
Graduationin BCA or B.Tech or BSC.
Experience
Minimum of 2 years of relevant experience in backend development.
Skills and Attributes
Proficiency in backend development using Python, Node.js, Golang, or similar asynchronous programmi

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