I applied through an employee referral. The process took 2 months. I interviewed at Impetus Technologies
Interview
I received a call through referral. I appeared in 2 technical discussions. Received excellent feedback from both the rounds. I was asked to upload my past experience and payslips for HR discussion. It’s been more than 2 months. I called HR one day, she mentioned that the higher management is currently blocked all the offers. Utterly disappointed after investing so much time and effort. Very bad experience.
Thank you for taking the time to share your feedback. We’re sorry the experience hasn’t been ideal for you. We’re always striving to give the best experience. We have shared your feedback with the concerned team. If you want to share further, then please email us at heg@impetus.com
Other Senior Big Data Engineer interview reviews for Impetus Technologies
I applied through a recruiter. The process took 1 day. I interviewed at Impetus Technologies (Gurgaon, Haryana) in Jun 2022
Interview
The process was fairly simple, got a call from the recruiter directly and the interview was scheduled within a week. Only one technical round was conducted. Purely coding based round.
Interview questions [1]
Question 1
Shared in DescriptionQuestion1) If we have input.csv, we need to find the output. File and desired output are given below.
username, mobile
user1,999999991:888888882
user3,777777771
user2,777777234:823232351
user5,734452343:943433434:834323434
user1,999999991:9994433777
output
user1:3
user2:2
user3:1
Question2) How can we read a csv file into dataframe
Question3) Option to modify the encoding while reading a file in Scala
Question 4) Optin to modify the timestamp while reading a file
Question 5) How to introduce separators like "," while reading a file
Question 6) How to infer Schema
===============================
Question 7) How have below 2 tables, we need to find out users who visited a bank but didn't make any transactions?
-- Visits table:
-- +---------+------------+
-- | user_id | visit_date |
-- +---------+------------+
-- | 1 | 2020-01-01 |
-- | 2 | 2020-01-02 |
-- | 12 | 2020-01-01 |
-- | 19 | 2020-01-03 |
-- | 1 | 2020-01-02 |
-- | 2 | 2020-01-03 |
-- | 1 | 2020-01-04 |
-- | 7 | 2020-01-11 |
-- | 9 | 2020-01-25 |
-- | 8 | 2020-01-28 |
-- +---------+------------+
-- Transactions table:
-- +---------+------------------+--------+
-- | user_id | transaction_date | amount |
-- +---------+------------------+--------+
-- | 1 | 2020-01-02 | 120 |
-- | 2 | 2020-01-03 | 22 |
-- | 7 | 2020-01-11 | 232 |
-- | 1 | 2020-01-04 | 7 |
-- | 9 | 2020-01-25 | 33 |
-- | 9 | 2020-01-25 | 66 |
-- | 8 | 2020-01-28 | 1 |
-- | 9 | 2020-01-25 | 99 |
-- +---------+------------------+--------+