Python Developer

Role Description

This is a full-time role for a Python Developer. The Python Developer will work on back-end web development and software development projects, implementing and maintaining robust solutions. Responsibilities include writing clean, efficient, and scalable code, designing and maintaining databases, developing applications with an object-oriented programming approach, troubleshooting and debugging, and optimizing performance. Collaboration with development teams and contributing to technical discussions will be a part of day-to-day activities.

Qualifications

• Hands-on experience with Python.
• Candidate should have excellent communication Skills.
• Strong understanding of Core Python, data structures, OOPs, exception handling, and logical problem-solving.
• Experience in at least one Python framework (FastAPI preferred, Flask/Django acceptable).
• Good knowledge of REST API development and API authentication (JWT/OAuth).
• Experience with SQL databases (MySQL/PostgreSQL) & NoSQL databases (MongoDB/Firestore).
• Basic understanding of cloud platforms (GCP or AWS).
• Experience with Git, branching strategies, and code reviews.
• Solid understanding of performance optimization and writing clean, efficient code.
• Good English communication — able to explain ideas clearly.
• Develop, test, and maintain high-quality Python applications using FastAPI (or Flask/Django).
• Design and implement RESTful APIs with strong understanding of request/response cycles, data validation, and authentication.
• Work with SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore) databases, including schema design and query optimization.
• Build scalable, maintainable backend components with a focus on performance, availability, and security.
• Collaborate with the team to understand requirements and convert them into clean technical solutions.
• Write reusable, testable, and efficient code following best practices and coding standards.
• Perform debugging, troubleshooting, and performance tuning.
• Integrate with various data sources and third-party services.
• Experience with Google Cloud (BigQuery, Dataflow, Notebooks) will be a strong plus.
• Work with cloud environments (GCP/AWS) for deployments, storage, logging, etc.
• Use version control tools such as Git/BitBucket for collaborative development.
• Support and build data pipelines using Dataflow/Beam and BigQuery if required.
• Experience with GCP services like BigQuery, Dataflow (Apache Beam), Cloud Functions, Notebooks etc
• Good to have Exposure to microservices architecture.
• Familiarity with Redis, Elasticsearch, or message queues (Pub/Sub, RabbitMQ, Kafka).
• Knowledge of Docker and basic CI/CD.
• Experience with Pandas/Numpy for data manipulation (basic level).