Postman Recruitment 2022 Hiring Freshers as Data Engineer Intern of Any Degree Graduate
Postman Recruitment 2022: Postman leads the way in the API-first universe. Postman’s API Development Environment is used by 7+ million developers and more than 300,000 companies to access 130 million APIs every month. Postman is the only complete API development environment. Today we have 8 million developers and over 400K companies using our comprehensive set of built-in tools to support every stage of the API lifecycle. With Postman you can design, mock, debug, test, document, monitor, and publish your APIs all in one place.
Company Name: Postman Inc
Company Website: Postman
Position: Data Engineer – Intern
Degree Needed: B.E/B.Tech/MCA
Passout Batch: 2019/2020/2021
Job Location: Bangalore
Package: Best In Industry
Experience Level: 0 – 2 Years
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Requirements
- You are a college fresher or a student in final year of college.
- You love everything about data and have specific inclination towards data engineering and not generic software engineering.
- You have good understanding of at least one programming language.
- You know the basics and internal workings of at least one database/data warehouse/data lake and understood the workings in depth. (You get extra credit to know difference between these three 🙂 )
- A fascination towards building things around data and seriously considering that as a full-time career in future.
- You care about what you build. Every individual is expected to pay attention to detail, and learn after their first mistake.
Responsibilities
- Be an amazing learner on a day-to-day basis.
- Build and take ownership of new integrations with a variety of tools. You will be continuously scaling up yourself and your systems.
- While building new systems in parallel contribute to existing ELT (extract, load and transform) data pipelines.
- Own and deliver high performing systems (not just pipelines) and help the team scale them up, to endure ever increasing traffic.
- Communicate effectively with data consumers to fine-tune data platform systems (existing or new).
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