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Python Developer

Noida
Python Django Flask FastAPI API Microservices SQL MySQL PostgreSQL MongoDB Redis AWS Azure GCP Git Docker Kubernetes Pandas NumPy TensorFlow PyTorch Machine Learning React Angular Vue.js
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Description

Python Developer

Location: Noida

Department: Information Technology - Plant

Experience: 5-6


 
About the Role
We are seeking an experienced Python Developer with 5–6 years of proven expertise in designing, developing, and deploying scalable applications. The ideal candidate should have strong problem-solving skills, hands-on experience with modern frameworks, and the ability to collaborate with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities
  • Design, develop, test, and maintain efficient, reusable, and reliable Python code.
  • Build and optimize backend services, APIs, and integrations with third-party systems.
  • Collaborate with front-end developers, product managers, and QA teams to ensure seamless functionality and performance.
  • Implement data storage solutions using SQL/NoSQL databases.
  • Ensure application performance, scalability, and security.
  • Troubleshoot, debug, and upgrade existing systems.
  • Stay updated with emerging technologies and contribute to continuous process improvement.

Requirements
  • 5–6 years of professional experience as a Python Developer or in a similar role.
  • Strong expertise in Python (3.x) and popular frameworks (e.g., Django, Flask, FastAPI).
  • Solid understanding of RESTful APIs, microservices architecture, and web technologies.
  • Experience with databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB, Redis).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment pipelines (CI/CD).
  • Strong understanding of data structures, algorithms, and OOP concepts.
  • Proficiency with version control systems (Git) and Agile methodologies.
  • Ability to write clean, scalable, and maintainable code with proper documentation.
  • Excellent analytical, problem-solving, and communication skills.

Good to Have
  • Knowledge of Docker, Kubernetes, or containerized deployments.
  • Experience with machine learning libraries (Pandas, NumPy, TensorFlow, PyTorch) or big data tools.
  • Exposure to front-end technologies (React, Angular, or Vue.js).

Education
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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