No timings is the best thing. We can work from different cities while the team which we are a part of can be at a different place.
Growth is credited to the team in which you work. There are a lot of teams where you will thrive. But you can also find teams where most of the work is already done; that is to say, the team is well-established.
In such teams, you need to understand the existing architecture and then can take up new projects. In such teams, growth will come with time. Although both have their own pros and cons, it depends on the individual and his goals for the future, who may be inclined to new teams as there will be a lot of learning and most of the things they have to build by themselves.
People are of very good nature. You will find extremely talented individuals near you. You will learn a lot in a very short time frame.
External team dependencies can slow your work rate. If you are working on a critical task, you may have to work more than 8-10 hours. When you join as a fresher, you have to learn things quickly. Although this is a positive aspect, you have to work and learn simultaneously. You may not get time to only learn.
After 1 week of joining, you are expected to take small tasks to speed up your learning process and engross in the team environment.
Online Assessment (OA) that covered two key areas: DSA (Data Structures & Algorithms): Typical competitive-programming style problems such as arrays, strings, trees, graphs, dynamic programming, etc. Often includes time/space complexity considerat
Good interview experience. It consists of 4 rounds, including an Online Assessment (OA). The last round is a "bar raiser" round. The remaining two are technical rounds. Mostly, the interview focused on Data Structures and Algorithms (DSA) question
The Amazon SDE interview involves resume screening, phone interviews, and an all-day onsite loop with coding challenges, leadership principle discussions, and potentially system design. To succeed, practice coding, brush up on fundamentals, and be r
Online Assessment (OA) that covered two key areas: DSA (Data Structures & Algorithms): Typical competitive-programming style problems such as arrays, strings, trees, graphs, dynamic programming, etc. Often includes time/space complexity considerat
Good interview experience. It consists of 4 rounds, including an Online Assessment (OA). The last round is a "bar raiser" round. The remaining two are technical rounds. Mostly, the interview focused on Data Structures and Algorithms (DSA) question
The Amazon SDE interview involves resume screening, phone interviews, and an all-day onsite loop with coding challenges, leadership principle discussions, and potentially system design. To succeed, practice coding, brush up on fundamentals, and be r