Backend Python Developer

Mployee.me; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Mployee.me in Hyderabad is seeking a skilled backend engineer to build and maintain Python-based services. You will design RESTful APIs with FastAPI, process large datasets with PySpark, and deploy on AWS.

You will optimize data pipelines, integrate APIs with databases, and collaborate with DevOps to ensure scalable, reliable performance.

Ideal candidates have strong Python expertise, hands-on PySpark experience, SQL skills, and a solid grasp of API development and ETL concepts.

Qualifications

• Proven Python programming experience.
• Hands-on PySpark for large-scale data processing.
• Experience building RESTful APIs with FastAPI.
• Strong AWS cloud services knowledge.
• SQL experience and database integration.
• Understanding of Python OOP concepts and data structures.
• Experience in API development, integration, and optimization.
• Knowledge of data pipelines and ETL processes.

Responsibilities

• Develop, build, and maintain backend applications using Python.
• Design, develop, and maintain RESTful APIs using FastAPI.
• Work with PySpark for large-scale data processing and transformation.
• Develop and optimize data pipelines for handling structured and unstructured data.
• Work with AWS cloud services for application deployment and data processing.
• Integrate APIs with databases and third-party applications.
• Write clean, reusable, scalable, and efficient Python code.
• Perform debugging, troubleshooting, and performance optimization.
• Collaborate with data engineers, backend developers, and DevOps teams.

Skills

Python

PySpark

FastAPI

AWS

SQL

OOP concepts

API development

ETL concepts

Tools

Job description

Role & responsibilities

1. Develop, build, and maintain backend applications using Python.
2. Design, develop, and maintain RESTful APIs using FastAPI.
3. Work with PySpark for large-scale data processing and transformation.
4. Develop and optimize data pipelines for handling structured and unstructured data.
5. Work with AWS cloud services for application deployment and data processing.
6. Integrate APIs with databases and third-party applications.
7. Write clean, reusable, scalable, and efficient Python code.
8. Perform debugging, troubleshooting, and performance optimization.
9. Collaborate with data engineers, backend developers, and DevOps teams.

Preferred candidate profile

• Strong hands-on experience in Python programming.
• Experience in PySpark for large-scale data processing and transformation.
• Hands-on experience in developing RESTful APIs using FastAPI.
• Strong knowledge of AWS cloud services and deployment.
• Experience in SQL and database integration.
• Knowledge of Python OOP concepts and data structures.
• Experience in API development, integration, and optimization.
• Understanding of data pipelines and ETL processes.