Good Company to work for
Good Company to work for
Flexible work hours. If you work well, you will be rewarded. Good managers. Unlimited WFH. Unlimited leaves. No micromanagement.
Working during COVID made people believe that one is available all the time – on weekends, late at night, or any other time they feel they need you.
Management is good if your work speaks for you. The manager will sit behind your back and make do stuff. So, all in all, a good place to work.
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IBM Interview Questions
IBM Interview Experiences
Big Data Engineer
It was a hiring event in Baton Rouge, held by IBM Louisiana. The whole interview took about one hour. There were two sections: a technical review and a personality review. The tech part focused on the basic grammar of a programming language. The pers
Big Data Engineer
Just got to the first round of coding. There are two questions to do in one hour. The first question was related to SQL and involved handling queries about employee locations and salary.
Big Data Engineer
Applied for Senior Azure Data Engineer. The process took 2 weeks. 1. Technical round: ADF pipeline design, SQL, PySpark, Databricks (broadcast join, right semi, etc.). 2. Techno-managerial round: Explain your project, Spark optimization techniques,
Big Data Engineer
Baton Rouge, Louisiana, United StatesMarch 1, 2019It was a hiring event in Baton Rouge, held by IBM Louisiana. The whole interview took about one hour. There were two sections: a technical review and a personality review. The tech part focused on the basic grammar of a programming language. The pers
Big Data Engineer
New Delhi, IndiaFebruary 1, 2024Just got to the first round of coding. There are two questions to do in one hour. The first question was related to SQL and involved handling queries about employee locations and salary.
Big Data Engineer
IndiaOctober 1, 2022Applied for Senior Azure Data Engineer. The process took 2 weeks. 1. Technical round: ADF pipeline design, SQL, PySpark, Databricks (broadcast join, right semi, etc.). 2. Techno-managerial round: Explain your project, Spark optimization techniques,
