Process
Applied via LinkedIn.
A recruiter reached out to me to schedule the initial round.
They explained the process, and then the technical round was two weeks later.
They provided links to different websites for preparation as well.
Questions
SQL: Already present in Glassdoor.
- Ratio of
is_fatandis_someotheramong total products. - Top 5 single-channel companies that spent the maximum amount on promotion. Take into account the ones that have only a single entry. Company, Channel 1 Food, Water 2 Food
- Percentage of sales on the first day and last day.
Python: Occurrences of a letter in a string, replace None with the previous value in a list, from a dictionary get the keys corresponding to the nth highest value.
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Interview Statistics
The following metrics were computed from 347 interview experiences for the Meta Data Engineer role in United States.
Success Rate
15%
Pass Rate
Meta's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive63%
Neutral24%
Negative13%
Candidates reported having very good feelings for Meta's Data Engineer interview process in United States.
Meta Work Experiences
2.0
Don't trust leadership
Data Engineer • Current Employee
January 17, 2024
Pros: 1. Food
2. Good office
3. Lots of work if you enjoy doing work.
4. Self Automation: The company encourages you to find your own projects and then drive those projects yourself. This is expected starting from the junior ICs, which prepares people for tough challenges and to acquire new skills.
5. Learn and do the right thing: A good amount of people are very talented in the company, mostly people before 2020. If you are lucky to work with them, then learn from them and try to always find what is the best solution for the business.
Cons: 1. There is a lot of bullying.
2. People will throw you under the bus.
3. At the end of the day, it is just you fighting for yourself.
4. You don't get the reward/acknowledgement for your work.
5.0
Great place to grow
Data Engineer • Current Employee
Menlo Park, California, United States
March 3, 2021
Pros: - Learning different systems
- Great benefits and food
Cons: - 6-month review cycles are a bit intense.
5.0
Happy Employee, Great Culture
Data Engineer • Current Employee
Sunnyvale, California, United States
October 30, 2023
Pros: Great culture, lots of internal tools.
Cons: No cons, great company, and happy to be here.
- 2.0Don't trust leadershipData Engineer • Current EmployeeJanuary 17, 2024Pros: 1. Food 2. Good office 3. Lots of work if you enjoy doing work. 4. Self Automation: The company encourages you to find your own projects and then drive those projects yourself. This is expected starting from the junior ICs, which prepares people for tough challenges and to acquire new skills. 5. Learn and do the right thing: A good amount of people are very talented in the company, mostly people before 2020. If you are lucky to work with them, then learn from them and try to always find what is the best solution for the business.Cons: 1. There is a lot of bullying. 2. People will throw you under the bus. 3. At the end of the day, it is just you fighting for yourself. 4. You don't get the reward/acknowledgement for your work.
- 5.0Great place to growData Engineer • Current EmployeeMenlo Park, California, United StatesMarch 3, 2021Pros: - Learning different systems - Great benefits and foodCons: - 6-month review cycles are a bit intense.
- 5.0Happy Employee, Great CultureData Engineer • Current EmployeeSunnyvale, California, United StatesOctober 30, 2023Pros: Great culture, lots of internal tools.Cons: No cons, great company, and happy to be here.
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