Work-life balance and work environment
nothing to specify, everything is good
Basic questions were asked on Hadoop and PySpark. Knowledge of Python and SQL was checked. Project-based questions and cloud certifications were also discussed. Questions were easy overall. The focus was more on work experience rather than the tech
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 H
A recruiter contacted me via LinkedIn. The interview was scheduled for the next day. The interviewer asked questions mainly related to Linux and SQL. They are still using very old ways for processing files, and the interviewer didn't understand how m
Basic questions were asked on Hadoop and PySpark. Knowledge of Python and SQL was checked. Project-based questions and cloud certifications were also discussed. Questions were easy overall. The focus was more on work experience rather than the tech
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 H
A recruiter contacted me via LinkedIn. The interview was scheduled for the next day. The interviewer asked questions mainly related to Linux and SQL. They are still using very old ways for processing files, and the interviewer didn't understand how m