Full Stack Engineer

Essential

: B.E / B. Tech in Computer Science/IT/ or Masters in Computer Application(MCA)

Minimum 60 % marks

Minimum 3 Years work experience in Full stack development.

Desirable:
Certification in Big Data/Data Science/Cloud Computing or equivalent

Role:
Full Stack:
Skilled Full Stack Developer with 3 years of hands-on experience in building and maintaining web applications using Angular, React, Python, and SQL.

The ideal candidate will be responsible for developing scalable front-end and back-end solutions, ensuring high performance and responsiveness.

Key Responsibilities:
Design, develop, and maintain web applications using

Angular

and

React

for front-end development.

Build and optimize back-end services and APIs using

Python

(preferably Django or Flask).

Write efficient SQL queries and manage relational databases (MySQL/PostgreSQL).

Collaborate with UI/UX designers to implement responsive and user-friendly interfaces.

Ensure application security, performance, and scalability.

Participate in code reviews, testing, and debugging to maintain high-quality standards.

Work closely with cross-functional teams to deliver projects on time.

Stay updated with emerging technologies and best practices in full-stack development.

Technical/ Functional:
Experience: Experience in data engineering, Full Stack Development or a related field.

Front-End: Strong proficiency in Angular and React, including state management and component-based architecture.

Back-End: Solid experience with Python frameworks (Django, Flask).

Database: Expertise in SQL and relational database design.

Familiarity with RESTful APIs and integration.

Knowledge of version control systems (Git).

of deployment processes and cloud platforms (AWS, Azure, or similar).

Excellent problem-solving and communication skills.

Desired but not essential

:

Experience in IoT time series data domain

Exposure to automotive data

KEYWORDS:

• Full Stack
• React.js / Angular.js
• Python
• SQL
• Process Automation
• Data Visualization
• Database Management
• Warehousing
• IOT
• Databricks
• AWS