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LTIMindtree AWS Data Engineer Interview Questions and Answers

Updated 17 Mar 2024

LTIMindtree AWS Data Engineer Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Feb 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Question on Project related. Pyspark question on transformation. AWS related questions, mostly of Glue jobs.
  • Q2. Modify null salary with avg salary, find count of employees by joining date. Configurations needed Glue job. What are connecters and Data connections in Glue service.
  • Ans. 

    Use Glue job to modify null salaries with average salary and find count of employees by joining date.

    • Create a Glue job to read data, modify null salaries with average salary, and count employees by joining date

    • Use Glue connectors to connect to data sources like S3, RDS, or Redshift

    • Data connections in Glue service are used to define the connection information to data sources

    • Example: Use Glue job to read employee data fr...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Project related questions and some behavior related questions.

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain How Lambda Asynchronous invokation works
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Question based on resume, cloud databases, EMR, Athena, Ec2, Sql
  • Q2. Scenario based questions
Round 2 - One-on-one 

(1 Question)

  • Q1. Managerial questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Aug 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. Tell ne about your self , experience in brief
  • Q2. Why Not other cloud why you choose AWS
  • Ans. 

    AWS offers the most comprehensive and flexible cloud platform with unmatched scalability, security, and reliability.

    • AWS has the largest and most mature cloud ecosystem with a wide range of services and tools

    • AWS provides unmatched scalability and flexibility to meet the needs of any organization

    • AWS has a strong focus on security and compliance, with a wide range of certifications and compliance programs

    • AWS offers high a...

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. How aws glue works ?
  • Ans. 

    AWS Glue is a fully managed ETL service that makes it easy to move data between data stores.

    • AWS Glue crawls your data sources and constructs a data catalog using metadata.

    • It then generates ETL code to transform and move data between data stores.

    • AWS Glue supports various data sources like Amazon S3, JDBC, Amazon RDS, etc.

    • It also provides a serverless environment to run your ETL jobs.

    • AWS Glue integrates with other AWS se

  • Answered by AI
  • Q2. What is AWS kinesis?
  • Ans. 

    AWS Kinesis is a managed service that enables real-time processing of streaming data at scale.

    • Kinesis can handle large amounts of data in real-time from various sources such as IoT devices, social media, and logs.

    • It allows data to be processed in real-time using AWS Lambda, Kinesis Analytics, or Kinesis Data Firehose.

    • Kinesis can be used for various use cases such as real-time analytics, machine learning, and fraud dete...

  • Answered by AI
Round 4 - HR 

(3 Questions)

  • Q1. Very short discussion about salary pakage
  • Q2. They will ask fews question only related documents you have or not
  • Q3. Accepted or not as they offering you

Interview Preparation Tips

Interview preparation tips for other job seekers - As per my interview experience..do not go fully black at least you must know about basic knowledge, connections between that , concept. mostly candidate rejected because of insufficient knowledge and main thing do not fake it in front of technical staff , that time No one extract you . Whenever you apply for any position first you see you have full knowledge or related knowledge both are different. Because technical staff not like to heard you related he / she want deep knowledge if you experience or fresher you must about concepts , lab practices , connections which you said .

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Dec 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL questions related to windowing functions
  • Q2. Spark theory questions

I applied via campus placement at Sastra University and was interviewed before Aug 2021. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. As i was fresher it was like basic C language technical common questions
Round 2 - HR 

(1 Question)

  • Q1. They have asked me about my final year projects and basic questions about organization like who was the founder, CEO etc

Interview Preparation Tips

Interview preparation tips for other job seekers - You can make anything possible with your confidence.
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Sep 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Coding Test 

They give the set of questions to solve

Round 3 - Technical 

(4 Questions)

  • Q1. Specific to your technology
  • Q2. Data ware house concepts
  • Q3. Coding in sql joins
  • Ans. 

    SQL joins are used to combine rows from two or more tables based on a related column between them.

    • Use INNER JOIN to return rows when there is at least one match in both tables

    • Use LEFT JOIN to return all rows from the left table and the matched rows from the right table

    • Use RIGHT JOIN to return all rows from the right table and the matched rows from the left table

    • Use FULL JOIN to return rows when there is a match in one

  • Answered by AI
  • Q4. Functions/ Procedures /data ware house schema
Round 4 - Technical 

(1 Question)

  • Q1. Intense level of coding and project details

Interview Preparation Tips

Interview preparation tips for other job seekers - be prepared fully this is the best company and you should not miss that chance

Skills evaluated in this interview

Round 1 - Technical 

(1 Question)

  • Q1. Most of the question were related to Big Data basics, SQL and spark
Round 2 - Technical 

(1 Question)

  • Q1. Little advanced like practical questions related to previous projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Should be strong in basics and about projects that we worked previously.

I applied via Naukri.com

Round 1 - Technical 

(1 Question)

  • Q1. Explain about Kubernetes
  • Ans. 

    Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.

    • Kubernetes is used to manage and automate the deployment of containerized applications.

    • It provides a platform for running and scaling applications across a cluster of machines.

    • Kubernetes ensures high availability and fault tolerance by automatically restarting failed contain...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for HCL Group AWS Devops Engineer interview:
  • Devops
Interview preparation tips for other job seekers - Hi
I am looking for a job change. I have 3 years of experience on DevOps.

Skills evaluated in this interview

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - Aptitude Test 

Yes

Round 3 - HR 

(2 Questions)

  • Q1. What are your salary expectations?
  • Q2. No
Round 4 - HR 

(2 Questions)

  • Q1. Tell me about yourself.
  • Q2. No
Round 5 - HR 

(2 Questions)

  • Q1. Why should we hire you?
  • Q2. No
Round 6 - HR 

(1 Question)

  • Q1. No

Interview Preparation Tips

Interview preparation tips for other job seekers - Yes

LTIMindtree Interview FAQs

How many rounds are there in LTIMindtree AWS Data Engineer interview?
LTIMindtree interview process usually has 2 rounds. The most common rounds in the LTIMindtree interview process are Technical.
What are the top questions asked in LTIMindtree AWS Data Engineer interview?

Some of the top questions asked at the LTIMindtree AWS Data Engineer interview -

  1. Modify null salary with avg salary, find count of employees by joining date. Co...read more
  2. Question on Project related. Pyspark question on transformation. AWS related qu...read more
  3. Project related questions and some behavior related questio...read more

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LTIMindtree AWS Data Engineer Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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LTIMindtree AWS Data Engineer Salary
based on 11 salaries
₹3.6 L/yr - ₹8.7 L/yr
33% less than the average AWS Data Engineer Salary in India
View more details

LTIMindtree AWS Data Engineer Reviews and Ratings

based on 2 reviews

5.0/5

Rating in categories

4.6

Skill development

5.0

Work-life balance

3.2

Salary

5.0

Job security

4.6

Company culture

3.2

Promotions

4.6

Work satisfaction

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