Web Development Node.js And Angular jobs in Mumbai at Markytics

About part time job/internship

Selected intern's day-to-day responsibilities include:

1. Work on the back end stack, such as Node JS, Java, Express JS
2. Work on the front end stack such as React JS, Angular 6/7/8/9, HTML5, CSS3
3. Deliver quick POC's using cutting edge technologies
4. Work on preparing reports, manuals, and other documentation on the status and maintenance of software
5. Design, develop and unit test applications in accordance with established standards
6. Work on developing, refining, and tuning integrations between applications
7. Work on analyzing and resolving technical and application problems
8. Work on debug applications
9. Work on developing RESTful services
10. Work in agile development methodology
11. Develop application using Angular JS (Express JS, JEST),Angular 6 and above as per needs/client specifications
12. Work on writing code, testing, and deploying finished web applications and libraries
13. Design, rapid prototype and implement a scalable, reliable, and maintainable Node-based web application
14. Enforce code quality through test-driven development
15. Enhance, refactor and continuously improve the existing codebase
16. Collaborate closely with the team to define product requirements

Skill(s) required

AngularJS

Node.js

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Who can apply

Only those candidates can apply who:

1. are available for the part time job/internship

2. can start the part time job/internship between 6th Jan'21 and 10th Feb'21

3. are available for duration of 6 months

4. have relevant skills and interests

Perks

Certificate

Letter of recommendation

Flexible work hours

Number of openings

Certificate: Will be provided at the end of the Internship

About Markytics

Markytics is a team of highly qualified and passionate data science/ML professionals. At Markytics, our objective is to develop strategic partnerships with our clients to deliver improved profits and enhanced customer value by drawing on our strengths in data analytics and statistical modeling.