Full Stack Engineer

Essential:

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

·      Minimum 60 % marks

·      Minimum 4 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 4 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: 4 years of experience in full stack development.

·      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

Behavioral:

·      Effective team player.

·      Study industry trends (global and domestic) and apply it in work-area.

·      Co-ordinate department activities and represent department.

·      Good communication and presentation skills.