- 5+ years of 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.

- Hands-on experience with both Django and FastAPI frameworks is required.

- 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).