Data Engineer applicants have rated the interview process at IBM with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 71.4% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at IBM (Bengaluru)
Interview
Good, Medium difficulty, java , python , sparkUsed Spark API over Hadoop YARN to perform analytics on data in Hive. Developed job processing scripts for Oozie workflow. Scheduling Oozie workflow engine to run multiple Hive and spark jobs. Created Python scripts to read, process and store required details from files. Developed Spark code based on business requirements.
Interview questions [1]
Question 1
Used Spark API over Hadoop YARN to perform analytics on data in Hive. Developed job processing scripts for Oozie workflow. Scheduling Oozie workflow engine to run multiple Hive and spark jobs. Created Python scripts to read, process and store required details from files. Developed Spark code based on business requirements.
difficult but try hard to clear ,asked about data and data pulling from source and landing into data base and create roles and all, creating views and transformation and landing
I applied in-person. I interviewed at IBM in Jun 2019
Interview
There will be 2 rounds conducted. 1st round will be technical interview which will be conducted by a senior in the company. 2nd round would be techno functional which will be conducted by a Manager level resource. then HR round to discuss your benefits and compensation