I have nothing to say.
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.
Good, good, good, good, good. Technical round 2: PySpark, Hive, cloud, AWS. Manager round: About yourself, key challenges faced, your expertise. Written test: Python coding, MCQ. HR round: Why you want to switch. Final discussion. Everything goo
The interview process was more high-level. It focused on past experiences, languages I worked on such as Python or SQL, cloud services, and data modeling. It also covered the flow of data at my previous company: Who was the user, source application,
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.
Good, good, good, good, good. Technical round 2: PySpark, Hive, cloud, AWS. Manager round: About yourself, key challenges faced, your expertise. Written test: Python coding, MCQ. HR round: Why you want to switch. Final discussion. Everything goo
The interview process was more high-level. It focused on past experiences, languages I worked on such as Python or SQL, cloud services, and data modeling. It also covered the flow of data at my previous company: Who was the user, source application,