Work-life balance.
Great learning.
Good projects.
Less pay rate. Huge environment, so learning may be limited.
Contractors do not have much exposure.
The main focus was on Hadoop, Hive, and Spark. I started the interview with a self-introduction. The interviewers were asking questions on Hadoop architecture, how data ingestion takes place, and the ETL process of Big Data.
Total number of rounds: 3 - 1 Screening, 1 Technical, 1 Behavioral. Interview is mostly technical, with behavioral-based questions in STAR (situation, task, action, and result on how it helped the client) format.
They asked me consulting questions, not data engineering. They asked me to use Google to find the answers without using ChatGPT side-by-side. I did that, and it went pretty well. I think that's nice.
The main focus was on Hadoop, Hive, and Spark. I started the interview with a self-introduction. The interviewers were asking questions on Hadoop architecture, how data ingestion takes place, and the ETL process of Big Data.
Total number of rounds: 3 - 1 Screening, 1 Technical, 1 Behavioral. Interview is mostly technical, with behavioral-based questions in STAR (situation, task, action, and result on how it helped the client) format.
They asked me consulting questions, not data engineering. They asked me to use Google to find the answers without using ChatGPT side-by-side. I did that, and it went pretty well. I think that's nice.