Me postulé en línea. Acudí a una entrevista en TIAA (Mumbai) en nov 2022
Entrevista
Very late interview.many times it is cancelled and postpone the interview .but interview was very easy.no feedback from them.work from home.waiting for the reply from them.tiaa is good company i heard
Me postulé a través de una facultad o universidad. Acudí a una entrevista en TIAA (Pune) en feb 2022
Entrevista
1 .Coding round.
2. Two interview rounds are there.
First one was technical based on basic core subjects. (Explain Oops concepts, DBMS Query, show the projects,
basis oops , DSA Qs)Second one was based on resume.
Preguntas de entrevista [1]
Pregunta 1
Explain Oops concepts, DBMS Query, show the projects,
basis oops , DSA Qs
Me postulé a través de una facultad o universidad. El proceso tomó 2 semanas. Acudí a una entrevista en TIAA (Nueva Delhi) en jun 2021
Entrevista
1st round was Objectives 90min+ Coding Round 30min.
In objective there was verbal ,analytical ,quant ,technical and coding round. Coding round consist of simple question .There were 2 easy programming questions.
2nd round was Technical Round for 40-45 min. The interviewer was friendly. It was kind of discussion.
3rd round was HR round. For me it was just for 20min. He asked me about project and some HR question.
Preguntas de entrevista [1]
Pregunta 1
0)Tell me about yourself
1)What is relation database
2) How to make relation between two table - Primary, Foreign key
3) what is join
4) Difference between c++ and java
5) Difference between object and class
6) DDL and DML
7) What is data warehouse
8) what is mean, median, mode
9) Business Intelligence
10) built-in and user defined function
11) 5vs of big data
12) what is web services
13)what is Flutter
14) difference
between tuple and list
15) libraries in Python
16) how Python is case sensitive explain with example
17) Python program using random function to create 4 digit number
18) what is AI
19 ) What is REST ful API
20) where we use C++ and Java
21) what are Testing Tools, version control
22)What is prediction analytics
23) Github commands