Pathetic place to work
Pathetic place to work
Flexible working hours. Not much pressure with respect to deadlines.
Negative work environment. They don't have much clarity on the work to be done. Mostly projects are driven by US teams, and low-end work comes to the India team. They still follow a bell curve for appraisal.
Act wisely and understand the loopholes; otherwise, you will keep losing good people.
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Wells Fargo Interview Questions
Wells Fargo Interview Experiences
Data Engineer
The technical interviewer had a condescending tone and attitude, and he was interested in showing his superiority. It was a very poor experience, as candidates should be treated humanely and with respect. The company has a good work culture, though.
Data Engineer
It was a great experience. It took two weeks for the entire process. I attended a data engineer interview. It consisted of two rounds of interviews. The first round was a technical round with an online coding assessment.
Data Engineer
I applied through Wells Careers and got the call after 10 days for a technical interview. The panel had 5 people who work for the same team. They grilled me on different data engineering topics, including: * Autosys * Big Data * Hadoop * PySpark *
Data Engineer
Bengaluru, Karnataka, IndiaJuly 30, 2025The technical interviewer had a condescending tone and attitude, and he was interested in showing his superiority. It was a very poor experience, as candidates should be treated humanely and with respect. The company has a good work culture, though.
Data Engineer
Hyderābād, Telangana, IndiaAugust 16, 2024It was a great experience. It took two weeks for the entire process. I attended a data engineer interview. It consisted of two rounds of interviews. The first round was a technical round with an online coding assessment.
Data Engineer
Charlotte, North Carolina, United StatesDecember 1, 2022I applied through Wells Careers and got the call after 10 days for a technical interview. The panel had 5 people who work for the same team. They grilled me on different data engineering topics, including: * Autosys * Big Data * Hadoop * PySpark *
