I have been working at HPE full-time
I have been working at HPE full-time
- Work-life balance is great at HPE.
- Flexible working hours, including the possibility to work from home.
- Awesome work environment; the company takes care of its employees.
- Flexible work environment, good pay, and benefits.
- Great people to work with and challenging products.
- Less package; internal career growth takes a long time.
- There are no cons that stand out.
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Hewlett Packard Enterprise Interview Questions
Hewlett Packard Enterprise Interview Experiences
Data Engineer
There was a technical round with basic Python questions, OS, and Linux-related questions. Basically, they tested your complete computer science knowledge. Overall, the interview experience was good. The hiring process was also good. The HR was very c
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
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
Bengaluru, Karnataka, IndiaMay 1, 2020There was a technical round with basic Python questions, OS, and Linux-related questions. Basically, they tested your complete computer science knowledge. Overall, the interview experience was good. The hiring process was also good. The HR was very c
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
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
