Python Backend Developer

Durapid Technologies Private Limited; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology solutions provider is seeking a skilled Python Backend Developer in India. You will design, build, and maintain backend systems and APIs for data-driven enterprise applications. Key responsibilities include developing RESTful APIs, integrating services with data platforms like Azure Databricks, and ensuring coding standards. Ideal candidates will have experience with FastAPI and CI/CD pipelines in a cloud environment.

Qualifications

• Proficient in Python for backend development.
• Experience with Azure Databricks and other data platforms.
• Strong coding standards and best practices.

Responsibilities

• Build and maintain RESTful and async APIs.
• Integrate backend services with various data sources.
• Ensure smooth data contracts and API versioning.

Skills

Python

Azure

FastAPI

Integration

CI/CD

Job description

About The Role

We are looking for a skilled Python Backend Developer to design, build, and maintain robust backend systems and APIs that power data‑driven enterprise applications. This role sits at the intersection of backend engineering and data platform integration — you will be responsible for creating clean, scalable, and production‑ready Python services that connect seamlessly to modern data sources, cloud infrastructure, and AI‑enabled applications.

The ideal candidate writes code that others want to maintain, thinks in systems, and brings engineering discipline to every layer of the stack — from API contracts to deployment pipelines.

Key Responsibilities

• API Design & Development: Build and maintain RESTful and async APIs using frameworks such as FastAPI or Flask, following OpenAPI/Swagger standards.
• Data Source Integration: Connect backend services to a wide range of data platforms including Azure Databricks (via Databricks Connect or REST APIs), Microsoft Fabric (OneLake, SQL Analytics Endpoints, REST APIs), SQL Server and Azure SQL Database (via SQLAlchemy, pyodbc, or ODBC drivers), and other relational or NoSQL sources as required.
• Application Integration: Integrate backend APIs into frontend applications built on React or other modern frameworks, ensuring smooth data contracts, error propagation, and API versioning.
• Modular Code Architecture
• Azure Hosting & Cloud Deployment
• CI/CD Pipelines
• Coding Standards & Best Practices

Skills

python, integration, azure, azure databricks, code, fastapi