Process
Good. Medium difficulty.
- Java
- Python
- Spark
Used Spark API over Hadoop YARN to perform analytics on data in Hive. Developed job processing scripts for Oozie workflows. Scheduled Oozie workflows using the 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.
Questions
Used Spark API over Hadoop YARN to perform analytics on data in Hive. Developed job processing scripts for Oozie workflow. Scheduled 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.
Was this helpful?
Interview Statistics
The following metrics were computed from 12 interview experiences for the IBM Data Engineer role in Bengaluru, Karnataka.
Success Rate
IBM's interview process for their Data Engineer roles in Bengaluru, Karnataka is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for IBM's Data Engineer interview process in Bengaluru, Karnataka.
IBM Work Experiences
- 4.0Excellent company to work forData Engineer • Current EmployeeBengaluru, Karnataka, IndiaMarch 19, 2020Pros: Lots of projects in services, so kind of job security if skills are updated accordingly.Cons: Did not find any so far working for 5 years.
- 4.0Learning Opportunities, Low PayData Engineer • Current EmployeeBengaluru, Karnataka, IndiaNovember 9, 2025Pros: Flexibility to learn in multiple projects.Cons: Pay is not that great.
- 4.0A lot of learning opportunitiesData Engineer • Former EmployeeBengaluru, Karnataka, IndiaJanuary 19, 2023Pros: There are enormous opportunities to learn.Cons: In one year of shot time period, I feel nothing negative.
IBM Interview Questions
