Laid-back environment. I like the fact that this is a huge organization, which has the feel of a startup environment within individual teams.
The only downside I feel is the bureaucracy: too many people involved in making simple process changes.
We need a lab to test new, innovative technologies. We only have one server with very minimal resources that we use for testing things out.
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.
A Skype interview, about 30 minutes. It's a one-to-one format interview and they asked me about 10 questions. No coding was required, just to answer the questions orally. The questions were at a middle level, just common questions to follow.
It involved a multi-step, difficult technical interview process. The first was a personality interview, and the next was a technical interview using their program to show how proficient you are in using it.
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.
A Skype interview, about 30 minutes. It's a one-to-one format interview and they asked me about 10 questions. No coding was required, just to answer the questions orally. The questions were at a middle level, just common questions to follow.
It involved a multi-step, difficult technical interview process. The first was a personality interview, and the next was a technical interview using their program to show how proficient you are in using it.