Process
I applied through a recruiter. The process took 2 weeks.
- Screening round
- Technical Loops
- HM and team fit
The screening round is eliminatory, and the recruiter will only do a full loop once this is clear. I was asked 3 SQL and 3 Python questions, and I was only able to answer 2 SQL and 2 Python in 50 minutes.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta Data Engineer role in Bengaluru, Karnataka.
Success Rate
0%
Pass Rate
Meta's interview process for their Data Engineer roles in Bengaluru, Karnataka is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Meta's Data Engineer interview process in Bengaluru, Karnataka.
Meta Work Experiences
3.0
High pay, terrible culture
Data Engineer • Current Employee
Tel Aviv-Yafo, Israel
July 4, 2023
Pros: Great pay, great perks, nice and talented colleagues.
Cons: Company culture is a mess.
Leaning too much on a "bottom-up" style causes ICs (individual contributors, i.e., non-managers) to scramble for "impact" with little to no guidance from leadership. This results in a very political atmosphere where all people care about is how their work is going to be reflected in the performance review.
2.0
Pay And People Good, Scope Lacking
Data Engineer • Current Employee
London, England, United Kingdom
May 5, 2023
Pros: Food
Salary
People
Office
Benefits
Cons: Layoffs - sometimes micromanagement and lower scope.
5.0
Autonomous Work, Boring Tasks
Data Engineer • Former Employee
February 13, 2023
Pros: Amazing perks and WLB. Definitely felt like the company did a good job letting me be autonomous.
Cons: Being a data engineer at Meta is boring. You build a lot of dashboards and templated pipelines.
- 3.0High pay, terrible cultureData Engineer • Current EmployeeTel Aviv-Yafo, IsraelJuly 4, 2023Pros: Great pay, great perks, nice and talented colleagues.Cons: Company culture is a mess. Leaning too much on a "bottom-up" style causes ICs (individual contributors, i.e., non-managers) to scramble for "impact" with little to no guidance from leadership. This results in a very political atmosphere where all people care about is how their work is going to be reflected in the performance review.
- 2.0Pay And People Good, Scope LackingData Engineer • Current EmployeeLondon, England, United KingdomMay 5, 2023Pros: Food Salary People Office BenefitsCons: Layoffs - sometimes micromanagement and lower scope.
- 5.0Autonomous Work, Boring TasksData Engineer • Former EmployeeFebruary 13, 2023Pros: Amazing perks and WLB. Definitely felt like the company did a good job letting me be autonomous.Cons: Being a data engineer at Meta is boring. You build a lot of dashboards and templated pipelines.
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