Great Brand, Intense Pressure
Great Brand, Intense Pressure
Brand Recognition: Amazon is a globally recognized brand; working here can enhance your career profile.
Diverse Roles: Amazon offers a wide range of job opportunities, from technology to logistics, providing employees with diverse career paths.
Innovation: Amazon is constantly innovating, allowing employees to work with cutting-edge technologies.
Competitive Salary: Amazon offers competitive salaries, especially for technical roles.
Opportunities for Growth: With its expanding business, Amazon provides ample room for career advancement.
High Pressure: Amazon is known for its intense work culture, which can lead to high stress levels.
Strict Metrics: Employees are often evaluated based on strict performance metrics, which can be demanding.
Long Hours: Working at Amazon may require long and irregular working hours, affecting work-life balance.
Limited Job Security: Given the competitive and demanding environment, job security may not be as strong as in other companies.
High Turnover Rate: Amazon's demanding work culture has led to a relatively high employee turnover rate.
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Amazon Interview Questions
Amazon Interview Experiences
Data Engineer
It was good, but after the ninth round, they rejected. They should have given one more chance to people who reached the ninth round, as they have some ability as well. So, they should also be considered.
Data Engineer
Good interview with some pro-level questions into data and Python. Checked the decision-making skills and mathematical skills of the candidate, communication skills also analyzed, and thereafter few logical questions.
Data Engineer
Python - DSA questions Data Modeling - Asked to design a data model for a transactional database schema. SQL - Simple to medium questions that can be solved easily. Behavioral - Covered questions like those at other companies.
Data Engineer
London, EnglandOctober 31, 2025It was good, but after the ninth round, they rejected. They should have given one more chance to people who reached the ninth round, as they have some ability as well. So, they should also be considered.
Data Engineer
Hyderābād, Telangana, IndiaSeptember 16, 2025Good interview with some pro-level questions into data and Python. Checked the decision-making skills and mathematical skills of the candidate, communication skills also analyzed, and thereafter few logical questions.
Data Engineer
Seattle, Washington, United StatesAugust 17, 2025Python - DSA questions Data Modeling - Asked to design a data model for a transactional database schema. SQL - Simple to medium questions that can be solved easily. Behavioral - Covered questions like those at other companies.
