Data is the new currency for the future. Meet Rahul Narakula, who works as a Data Engineer at Amazon handling data to analyze what we know today and to forecast the future based on the insights. In this video, he shares what data engineering is, how he got into the role, his day-to-day, and his secret resources on cracking the data interview. Below are the questions I asked.
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00:14 tell me about yourself
02:42 what is data engineering?
04:51 why data engineer not SDE after studying CS?
06:37 process of getting into Amazon
09:42 what do you do as a data engineer?
11:19 did you have any learning curves?
12:18 what do you like most/least about your role?
13:20 Amazon culture and work life balance
14:25 advice for those who want to join Amazon as a data engineer
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Free resources for Data Engineering Interview Preparations:
Data Modelling: [ Ссылка ]
Product Sense: stellarpeers.com
Interview Structure Guide: [ Ссылка ]
System Design: [ Ссылка ]
System Design: educative.io (courses Groking the system design) (paid)
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💻 Need help with your upcoming interview? 💻
Fiverr: [ Ссылка ]

🌎 Social Medias 🌎
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Discord Community: [ Ссылка ]
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😊 About me😊
My name is Yong and I am here to help you with your Career success. In this channel, I usually talk about Career Development (FAANG, interview tips, jobsearch hacks, networking tips and more), interview people working at awesome companies and about getting an MBA (and more). I now work at Amazon as a Sr. Product Marketing Manager in the retail business. I am originally from Seoul, South Korea and moved to the US to get my MBA at UNC Kenan-Flagler Business School. When I got that job offer from Amazon, I promised myself that I would help people for their career success and here I am.

📞 Contact me 📞
The best way to contact me is through LinkedIn: [ Ссылка ]. However, if you have a specific question or a content request, please reach out to me via email that can be found in the about section of this channel.

📖 Disclaimer 📖
The opinions expressed in this video are those of the individuals. They do not purport
to reflect the opinions or views of any organization or its members.

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