IBM's work environment is good. With respect to other Indian IT services companies, the work culture is better. I hope it remains that way in the future.
Work culture mainly depends on the PM/PoM. If they are micromanaging, then it becomes difficult to work.
The only thing is, existing employees are not getting paid well in India, even if they are high-performing. Inflation in India is high, and other IT companies are paying much more. In fact, when IBM is hiring from outside, it is paying much more, even at a junior level, than existing high-performing employees.
Provide employees opportunities to move between projects to let them grow, instead of blocking them just because of open billable positions.
Dedicated time should be given to employees to learn, instead of always making learning a stretch assignment (apart from normal working hours).
The interview process consists of three stages: 1. Coding Assessment: This stage consists of moderate problems based on DSA and SQL. 2. Technical Round: You will be asked about technical concepts like DBMS, OS, and DSA approaches. 3. HR Round: Thi
The interview process was smooth and fast. The HR representative was quick to respond after the technical round, and the offer was made within three days. It's a really good system out there. The interview was seamless.
What is the difference between a data warehouse and a data lake? In what scenarios would you choose one over the other in a data engineering project?
The interview process consists of three stages: 1. Coding Assessment: This stage consists of moderate problems based on DSA and SQL. 2. Technical Round: You will be asked about technical concepts like DBMS, OS, and DSA approaches. 3. HR Round: Thi
The interview process was smooth and fast. The HR representative was quick to respond after the technical round, and the offer was made within three days. It's a really good system out there. The interview was seamless.
What is the difference between a data warehouse and a data lake? In what scenarios would you choose one over the other in a data engineering project?