J'ai postulé via un recruteur. J'ai passé un entretien chez ITC Infotech (Haryāna) en janv. 2024
Entretien
It took me 1 week to go through the process
thre will be 1 screening round then 2 techincal and 1 final hr round
then there will be client round as well depends on the client and location.
J'ai postulé en ligne. J'ai passé un entretien chez ITC Infotech en avr. 2024
Entretien
It was a Walk-in Drive on weekend, I got to know 1 day before through Naukri Portal, so i made travel arrangements and travelled 600+ km for this walk-in, 1st interview was pure technical and i have easily cracked but for second coding test they have given me program on MVC (I applied for Dot net core + Angular Requirement). It was 45 mins problem and Company's current employees acting as a coordinator there. I have raised them the different technology flag but they said interviewer will only check core logic, I've written the logic and presented to the interviewer, they said you should have either show us the MVC pages or should have created Web API and rejected me within a minute. I raised this to HR and they said we will call you,
It's almost a week and I followed up with them twice but neither they rejecting me or selecting me instead they are saying we are still discussing.
Questions d'entretien [1]
Question 1
MVC Program to display table with sorting, search pagination, cascading dropdown. (Time 45 mins)
J'ai postulé via un recruteur. J'ai passé un entretien chez ITC Infotech (Bangalore Rural) en janv. 2024
Entretien
It was a drive so just one round.
He was asking irrelevant questions and interview just lasted for 20 min.
They called me to negotiate for the package they were ready to give in starting.
Questions d'entretien [1]
Question 1
1)Spark Streaming e2e projects
2)Spark , bucketing and partitioning syntax
3)Data skweness, how to handle it in spark, explain different ways.
4)Kafka rebalancing issues, how you handled it
5)Kafka what kind of issues you faced and how you handled it
6)how you compared data whatever you are fetching from other sources.
7)Sources and destinations of your data in current project.
8)Internal Joins: Shuffle join,broadcast join, hash join
9)optimization technique in spark.