Good company to start your career with and good hikes.
Depends on the project you work on.
The interview was easy to moderate level. You must have a good understanding of data engineering-related concepts, including big data technologies like PySpark, languages like Python and SQL, and cloud technologies like AWS would be good to have.
Good, awesome, the best, but please answer the calls when cleared. Very good company, then what to say, the HR were good. Good salary negotiation, understanding, and mainly answer all the questions, don't stammer. If we don't know also, they will.
Unless you are applying for a team lead or management-focused role, preparing for data engineering interviews with 3.5 or 4 years of experience is no different from preparing for data engineering interviews with, say, 2 years of experience or less.
The interview was easy to moderate level. You must have a good understanding of data engineering-related concepts, including big data technologies like PySpark, languages like Python and SQL, and cloud technologies like AWS would be good to have.
Good, awesome, the best, but please answer the calls when cleared. Very good company, then what to say, the HR were good. Good salary negotiation, understanding, and mainly answer all the questions, don't stammer. If we don't know also, they will.
Unless you are applying for a team lead or management-focused role, preparing for data engineering interviews with 3.5 or 4 years of experience is no different from preparing for data engineering interviews with, say, 2 years of experience or less.