Full Stack Engineer

Full Stack Engineer

Essential

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