Skills Required: Python Fullstack(Django, Flask, REST/Fast API, AWS, Docker) with Digital Signal Processing (DSP).
There are two open positions for CAT, both focused on Python Developer roles. For one of these positions, we are specifically looking for a candidate from a premium institute who possesses strong Python development skills and has completed coursework or certifications in Digital Signal Processing (DSP).
Below are the details:
Job Title: Python Application Developer (4-6 Years Experience)
Role Overview:
We are looking for an experienced Python Developer to design, build, and maintain scalable, high-performance applications. The ideal candidate should have solid experience in Python development, strong analytical skills, and a proven ability to work on end-to-end application design and implementation.
Key Responsibilities:
Design, develop, and maintain Python-based applications using frameworks such as Django, Flask, or FastAPI.
Build RESTful APIs and integrate them with front-end and data systems.
Collaborate with cross-functional teams to define, design, and deliver new features.
Write clean, efficient, and reusable code following Python and PEP 8 best practices.
Implement testing (unit, integration, and API) and maintain code reliability.
Work on database design, optimization, and integration (SQL or NoSQL systems).
Debug, deploy, and monitor applications using version control and CI/CD pipelines.
Collaborate with DevOps for containerization (Docker) and cloud deployment (AWS/Azure/GCP).
Ensure application security, scalability, and performance optimization.
Required Skills and Qualifications:
Bachelor's degree in Computer Science, IT, or a related field.
4-6 years of hands-on experience in Python application development.
Proficient in frameworks such as Django, Flask, or FastAPI.
Strong understanding of object-oriented programming (OOP) and design patterns.
Experience with RESTful API development and third-party integrations.
Knowledge of SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.).
Familiarity with front-end basics (HTML, CSS, JavaScript) for integration.
Exposure to containerization and DevOps tools (Docker, Kubernetes, Jenkins).
Understanding of Git version control, testing frameworks (pytest/unittest), and agile delivery processes.
Preferred/Good-to-Have Skills:
Experience with data processing (Pandas, NumPy) or machine learning integration.
Knowledge of microservices architecture.
Exposure to cloud technologies and CI/CD automation.
* Experience working with APIs, security standards, and performance tuning.
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