Full Stack Python Developer

Job Description

**Urgent requirement for a leading Tech company in Hyderabad Monday to Friday Timings : 11:00 AM - 8:00 PM Location:Hyderabad Job Description: We are seeking an experienced Python Developer with a proven track record of building scalable and secure applications, The ideal candidate should possess in-depth knowledge of Python, modern development frameworks, and expertise in integrating third-party APIs. This role demands a leader who can foster innovation while adhering to industry standards for security, scalability, and performance. Roles and Responsibilities Application Development: Architect and develop robust, high-performance applications using Python frameworks such as Django, Flask, and FastAPI. API Integration:Design and implement seamless integration with third-party APIs. Data Management: Develop and optimize complex data pipelines to manage structured and unstructured data, utilizing ETL processes, data lakes, and distributed storage solutions. Microservices Architecture: Build modular applications using microservices principles to ensure scalability, independent deployment, and high availability. Performance Optimization: Enhance application performance through efficient resource management, load balancing,and faster query handling to deliver an exceptional user experience. Security and Compliance: Implement secure coding practices, manage data encryption, and ensure compliance with industry standards such as PCI DSS and GDPR.Automation and Deployment: Leverage CI/CD pipelines, containerization, and orchestration tools to automate testing, deployment, and monitoring processes. Collaboration: Work closely with front-end developers, product managers, and stakeholders to deliver high- quality, user-centric solutions aligned with business goals. Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Technical Expertise: o Hands-on experience with Python frameworks like Django, Flask, and FastAPI. o Proficiency in RESTful APIs, GraphQL, and asynchronous programming. o Strong knowledge of SQL/No SQL databases (PostgreSQL, MongoDB) and big data tools (e.g., Spark, Kafka). o Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI). o Familiarity with testing tools such as PyTest, Selenium, and SonarQube.