Good place to work. Learn new technologies.
Too much work. Short deadlines.
In the first two rounds, they focused mostly on Hadoop and Java, asking questions on Hadoop and its architecture and going in-depth on topics of Hadoop. In Java, they asked some basic questions. The final round was with the director.
Screening call with HR and lead, followed with a technical round with the group of the team you will be working with. Questions around data engineering experience, challenges, and scenario-based questions.
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.
In the first two rounds, they focused mostly on Hadoop and Java, asking questions on Hadoop and its architecture and going in-depth on topics of Hadoop. In Java, they asked some basic questions. The final round was with the director.
Screening call with HR and lead, followed with a technical round with the group of the team you will be working with. Questions around data engineering experience, challenges, and scenario-based questions.
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.