Project Luck, Good And Bad
Project Luck, Good And Bad
IBM India has some good projects and some bad projects. It depends on your luck.
Worst if you are in a bad project.
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IBM Interview Questions
IBM Interview Experiences
Data Engineer
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
Data Engineer
I received an InMail from a recruiter (an IBM employee) who found my profile on LinkedIn. We moved the conversation to email and then a call. The Job Description was very relevant to me. Interview Rounds: * Round 1: HR tech validation and JD matc
Data Engineer
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
Data Engineer
Bengaluru, Karnataka, IndiaMay 23, 2023Good. 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
Data Engineer
Bengaluru, Karnataka, IndiaMay 1, 2015I received an InMail from a recruiter (an IBM employee) who found my profile on LinkedIn. We moved the conversation to email and then a call. The Job Description was very relevant to me. Interview Rounds: * Round 1: HR tech validation and JD matc
Data Engineer
Bengaluru, Karnataka, IndiaMarch 1, 2021Basic 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
