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American Express Hey Guys,Can anyone who is a Data Engineer and working with Big Tech Companies share some light on how you guys are preparing for interviews?How are you learning so fast/so much?Can you please share some plan or guide me on what resources you are following?There are too many things. And in my current organization I am not able to learn those.I want to learn fast and more.I see profiles on LinkedIn that are filled with big data techstack.Please guide. Adobe Amazon Walmart Expedia, Inc. American E
Hello
Can I pl get help in SQL
Thank you
Hi fishes,I have around 5.2 yrs of hands on exp in data engg. and able to clear service based companies interviews easily.Now I want to switch to product based companies as I am looking for some good work,good salary but I am not really strong in dsa as it's not part of my daily work.I don't really use trees and graphs as part of my daily work.
How shall I switch to product based companies considering DSA is their 1st round itself.what level of DSA can I expect from companies for data engineer position?
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Money obviously
True. And this is same with many other tech stack too like PowerBI, Pega etc. Nothing else we can do now. Best thing is to learn various platform in DE. I am a core Azure DE since 4 years but now I am thinking to expand my knowledge in other platforms too
Try finding something new. MLops is new trend.
The issue you mentioned is same for all new tech. I've in data engineering for 10 yrs.. But now I don't think there are much opportunities here
Designing data model is something that was required earlier. It was crucial but now data engineering has expanded to so much. Someone just designing pipeline in UI is also a data engineer. Writing sql queries, you are data engineer, creating pipeline for ML, again you are a data engineer.
So the demand has changed. But it is what it is.