Data Engineer-Full Stack

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.

6

Competency Requirements

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

Behavioral

§ Effective team player.

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

§ Co-ordinate department activities and represent department / MSIL in forums.

§ Good communication and presentation skills.

Search Keywords

· Full Stack

· React.js / Angular.js

· Python

· SQL

· Process Automation

· Data Visualization

· Database Management

· Warehousing

· IOT

· Databricks

· AWS