Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso Fidelity Investments (Bengaluru)
Colloquio
I applied through college.The first round was an aptitude round.The questions were simple but time consuming.The main factor in the aptitude was time management.Attempt as many questions as you can.
The second round was the technical round.During the aptitude,you are asked to chose one of the fields among a)Data engineering
b)System engineering
c)Software Quality Assurance
d)Mainframe management
you are asked to chose one and all the questions in the interview are asked on the basis of your selection.I didnt make it through this round.Then the HR round follows.And from here,it's purely your luck
Domande di colloquio [1]
Domanda 1
I was asked the difference between DBMS and RDBMS.
Also,when denormalised forms can be better than the normalised forms.
Ho sostenuto un colloquio presso Fidelity Investments
Colloquio
it was good and smooth interview process. started with normal introduction basic topics mentioned in JD and didnt asked any coding related questions and the interview lasted for an hour
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Fidelity Investments (Bengaluru) nel mese di set 2025
Colloquio
we had first OA followed by interview the interview had two rounds technical and HR, technical was mostly DSA questions and explaining projects. HR round was basic questions. about the likes and dislikes, hobbies, analytical and scenario questions.
Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Fidelity Investments (Bengaluru) nel mese di ago 2025
Colloquio
It was a 3 step process :-
1. technical round 1 which was taken my the super senior manager just checking the basic concepts
2. technical + managerial round :- taken by lead and a manager was bit on a difficult side.
3. Hr round :- basic discussion and salary negotiation round
Domande di colloquio [1]
Domanda 1
Data modelling concepts , aws concepts and data bricks