Senior Python developer

Role Overview

Weare 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:

o Views

o Indexes (clustered, non-clustered, performance tuning)

o Stored Procedures

Expertise in Query Optimization:

o Queryplanning and execution analysis

o Performance tuning using execution plans

o 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:

o SQLqueryoptimization scenarios

o Indexing strategies

o Execution plan analysis

o Real-world performance tuning use cases