Role Overview :

We are looking for a Backend Python Developer to design, develop, and scale backend systems that power our products and platforms. The role requires strong database engineering expertise, particularly in Azure SQL, with a focus on query performance, optimization, and database design. You will work closely with product managers, frontend engineers, data scientists, and DevOps teams to build reliable, secure, and high-performing APIs and services.

Key Responsibilities :

- Design, develop, and maintain backend services and APIs using Python

- Build scalable, high-performance systems using frameworks such as Django, Flask, or FastAPI

- Develop and integrate RESTful APIs and asynchronous services where required

- Design and optimize database structures in Azure SQL and other relational databases

- Create and manage Views, Indexes, and Stored Procedures for performance optimization

- Analyze query execution plans and optimize complex SQL queries for high performance

- Work with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)

- Ensure code quality, performance, security, and scalability

- Write clean, testable, and maintainable code with proper documentation

- Collaborate with cross-functional teams to translate business requirements into technical solutions

- Debug, troubleshoot, and optimize both application and database performance bottlenecks

- Participate in code reviews and contribute to engineering best practices

Required Skills & Qualifications :

- Strong proficiency in Python

- Strong proficiency in Database - rdbms, Azure Data Pipeline.

- Experience with backend frameworks : Django / Flask / FastAPI

- Solid understanding of REST APIs, HTTP protocols, and backend architecture

Core Database Expertise (Must-Have) :

- Hands-on experience with Azure SQL Database

- Strong proficiency in SQL including :

1. Views

2. Indexes (clustered, non-clustered, performance tuning)

3. Stored Procedures

- Expertise in Query Optimization :

1. Query planning and execution analysis

2. Performance tuning using execution plans

3. Identifying bottlenecks and optimizing large-scale queries

- Strong experience in designing efficient and scalable database schemas

- Familiarity with Git and version control workflows

- Knowledge of object-oriented design, data structures, and algorithms

- Understanding of authentication, authorization, and security best practices

- Ability to work in an agile, fast-paced environment

Good to Have :

- Experience with AWS cloud platform

- Exposure to Docker, containers, and CI/CD pipelines

- Experience with async programming, message queues (Kafka, RabbitMQ), or background workers (Celery)

- Understanding of microservices architecture

- Previous experience in data, AI, or analytics-driven platforms

Hiring Focus (Important Note) :

- Strong emphasis will be placed on database-related problem-solving during interviews, including :

1. SQL query optimization scenarios

2. Indexing strategies

3. Execution plan analysis

4. Real-world performance tuning use cases