Big Data Engineer Interview Experience - Singapore, Singapore
May 19, 2018
Positive ExperienceNo Offer
Process
The interview process included a telephonic screen-sharing session, followed by an onsite interview. The onsite interview consisted of three one-hour rounds, and then a managerial round.
Questions
Write a program to create your own Queue.
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Interview Statistics
The following metrics were computed from 1 interview experience for the PayPal Big Data Engineer role in Singapore, Singapore.
Success Rate
0%
Pass Rate
PayPal's interview process for their Big Data Engineer roles in Singapore, Singapore is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for PayPal's Big Data Engineer interview process in Singapore, Singapore.
PayPal Work Experiences
3.0
Good firm to work for, provided your team sets you up with them
Big Data Engineer • Former Employee
Chennai, Tamil Nadu, India
September 25, 2018
Pros: No mandatory timing trackings.
Free snacks (Biscuits, Juice (both fresh fruit and bottled), and Evening Snack).
Excellent gym and badminton court.
Cons: Technically, no improvement.
Over time, work needs to be done, even on weekends if required. There is no concern about your personal life; they want your work to be done. If you are not a full-time employee, you will be treated as an odd man out.
3.0
Good Balance, Low Pay
Big Data Engineer • Current Employee
Beijing, Beijing, China
September 6, 2023
Pros: No introversion, moderate workload.
Work-life balance.
Cons: The salary is low, there are few opportunities for promotion, there is no hope for promotion, and the stock has been declining.
5.0
Great Balance, Too Many Reorgs
Big Data Engineer • Current Employee
June 18, 2021
Pros: Highly skilled coworkers.
The company is very employee-focused, so work-life balance is achieved.
Cons: Too many re-orgs and internal changes (moving teams between managers, roles, changing the org tree once a year is too much).
- 3.0Good firm to work for, provided your team sets you up with themBig Data Engineer • Former EmployeeChennai, Tamil Nadu, IndiaSeptember 25, 2018Pros: No mandatory timing trackings. Free snacks (Biscuits, Juice (both fresh fruit and bottled), and Evening Snack). Excellent gym and badminton court.Cons: Technically, no improvement. Over time, work needs to be done, even on weekends if required. There is no concern about your personal life; they want your work to be done. If you are not a full-time employee, you will be treated as an odd man out.
- 3.0Good Balance, Low PayBig Data Engineer • Current EmployeeBeijing, Beijing, ChinaSeptember 6, 2023Pros: No introversion, moderate workload. Work-life balance.Cons: The salary is low, there are few opportunities for promotion, there is no hope for promotion, and the stock has been declining.
- 5.0Great Balance, Too Many ReorgsBig Data Engineer • Current EmployeeJune 18, 2021Pros: Highly skilled coworkers. The company is very employee-focused, so work-life balance is achieved.Cons: Too many re-orgs and internal changes (moving teams between managers, roles, changing the org tree once a year is too much).
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