Good Pay, Slow Growth
Good Pay, Slow Growth
Overall good work-life balance and pay.
Not so great for growth.
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Hewlett Packard Enterprise Interview Questions
Hewlett Packard Enterprise Interview Experiences
Data Engineer
So much Python. Basic interview questions, but also NumPy array skills required, knowledge of basic machine learning algorithm trade-offs (bias vs. variance). Prepare to write from the command line, not a Jupyter Notebook. That was my experience, any
Data Engineer
First GD, then 1 technical round, then managerial, and last HR interview. In GD, they gave a topic for extempore. In the managerial, they asked to write a program on the Fibonacci series and basic OOPs concepts like polymorphism and abstraction, etc.
Data Engineer
Very poor experience. I did not receive any communication after the final round of interview. I tried contacting them through various platforms: emails, calls, WhatsApp, and even SMS, but they did not respond.
Data Engineer
San Diego, California, United StatesJanuary 1, 2018So much Python. Basic interview questions, but also NumPy array skills required, knowledge of basic machine learning algorithm trade-offs (bias vs. variance). Prepare to write from the command line, not a Jupyter Notebook. That was my experience, any
Data Engineer
Bengaluru, Karnataka, IndiaOctober 9, 2023First GD, then 1 technical round, then managerial, and last HR interview. In GD, they gave a topic for extempore. In the managerial, they asked to write a program on the Fibonacci series and basic OOPs concepts like polymorphism and abstraction, etc.
Data Engineer
IndiaJanuary 17, 2022Very poor experience. I did not receive any communication after the final round of interview. I tried contacting them through various platforms: emails, calls, WhatsApp, and even SMS, but they did not respond.
