Process
The interview was a phone round and focused on SQL and Python.
During the interview, I had a phone screening session that concentrated mainly on my proficiency in SQL and Python programming languages.
Questions
In SQL, questions were mostly based on joins, while Python was used for data manipulation and wrangling.
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Interview Statistics
The following metrics were computed from 13 interview experiences for the Amazon Data Engineer role in Bengaluru, Karnataka.
Success Rate
23%
Pass Rate
Amazon's interview process for their Data Engineer roles in Bengaluru, Karnataka is very selective, failing most engineers who go through it.
Experience Rating
Positive62%
Neutral31%
Negative8%
Candidates reported having very good feelings for Amazon's Data Engineer interview process in Bengaluru, Karnataka.
Amazon Work Experiences
2.0
Stocks Good, Tech Stale
Data Engineer • Current Employee
Bengaluru, Karnataka, India
September 19, 2018
Pros: The only good thing is that the stocks you get will be good.
Cons: No new technology in the data engineering field. It's all about their own tools, which are of no use outside the company. There's very little design work, just modifying existing SQL or writing new SQL queries. There's no ETL, nor any good Hadoop-related tools the company has. Everything will be taken care of by SDEs, so there's no scope for DEs to learn. There's a lot of operations work.
4.0
Good work culture
Data Engineer • Current Employee
Bengaluru, Karnataka, India
December 30, 2020
Pros: Opportunity to grow in your role.
Cons: Compensation is less compared to competitors.
5.0
Workplace to learn
Data Engineer • Current Employee
Bengaluru, Karnataka, India
June 24, 2020
Pros: Learn and invent.
Get money from your invention.
Cons: Too much work pressure here.
- 2.0Stocks Good, Tech StaleData Engineer • Current EmployeeBengaluru, Karnataka, IndiaSeptember 19, 2018Pros: The only good thing is that the stocks you get will be good.Cons: No new technology in the data engineering field. It's all about their own tools, which are of no use outside the company. There's very little design work, just modifying existing SQL or writing new SQL queries. There's no ETL, nor any good Hadoop-related tools the company has. Everything will be taken care of by SDEs, so there's no scope for DEs to learn. There's a lot of operations work.
- 4.0Good work cultureData Engineer • Current EmployeeBengaluru, Karnataka, IndiaDecember 30, 2020Pros: Opportunity to grow in your role.Cons: Compensation is less compared to competitors.
- 5.0Workplace to learnData Engineer • Current EmployeeBengaluru, Karnataka, IndiaJune 24, 2020Pros: Learn and invent. Get money from your invention.Cons: Too much work pressure here.
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