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Genpact Data Engineer Interview Questions and Answers

Updated 29 May 2025

7 Interview questions

A Data Engineer was asked 6mo ago
Q. How do you connect to different services in Azure?
Ans. 

To connect to different services in Azure, you can use Azure SDKs, REST APIs, Azure Portal, Azure CLI, and Azure PowerShell.

  • Use Azure SDKs for programming languages like Python, Java, C#, etc.

  • Utilize REST APIs to interact with Azure services programmatically.

  • Access and manage services through the Azure Portal.

  • Leverage Azure CLI for command-line interface interactions.

  • Automate tasks using Azure PowerShell scripts.

A Data Engineer was asked 6mo ago
Q. What are linked Services?
Ans. 

Linked Services are connections to external data sources or destinations in Azure Data Factory.

  • Linked Services define the connection information needed to connect to external data sources or destinations.

  • They can be used in Data Factory pipelines to read from or write to external systems.

  • Examples of Linked Services include Azure Blob Storage, Azure SQL Database, and Amazon S3.

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A Data Engineer was asked 6mo ago
Q. What are the different types of joins available in Databricks?
Ans. 

Different types of joins available in Databricks include inner join, outer join, left join, right join, and cross join.

  • Inner join: Returns only the rows that have matching values in both tables.

  • Outer join: Returns all rows when there is a match in either table.

  • Left join: Returns all rows from the left table and the matched rows from the right table.

  • Right join: Returns all rows from the right table and the matched ...

A Data Engineer was asked 6mo ago
Q. How do you make your data pipeline fault tolerant?
Ans. 

Implementing fault tolerance in a data pipeline involves redundancy, monitoring, and error handling.

  • Use redundant components to ensure continuous data flow

  • Implement monitoring tools to detect failures and bottlenecks

  • Set up automated alerts for immediate response to issues

  • Design error handling mechanisms to gracefully handle failures

  • Use checkpoints and retries to ensure data integrity

What people are saying about Genpact

View All
a software developer
2w
10 hour workdays? Glad I quit Genpact
I’m just relieved I got out in time...I was with Genpact till last month. Genpact wants its employees to start working 10 hours a day 5 days a week...that's 50 hours weekly. And this isn't for a startup or leadership role. It's for freshers. Entry level roles with 10 hour shifts? are you serious? In 2025? When we’re talking about 4 day workweeks and burnout awareness? I’m not saying people shouldn’t work hard....we all do. But let’s stop pretending this is normal or productive. Longer hours don’t mean better output. In most cases, it just means more stress, more health issues, and faster exits. If you don’t trust your team to perform in 8 hours, maybe it’s not the employees who need training. Or 2 extra hours me koi kuch vaise bhi nahi ukhaad raha.
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A Data Engineer was asked 6mo ago
Q. What is AutoLoader?
Ans. 

AutoLoader is a feature in data engineering that automatically loads data from various sources into a data warehouse or database.

  • Automates the process of loading data from different sources

  • Reduces manual effort and human error

  • Can be scheduled to run at specific intervals

  • Examples: Apache Nifi, AWS Glue

A Data Engineer was asked 12mo ago
Q. Spark architecture transformations used gave a python program to code
Ans. 

Spark architecture involves transformations like map, filter, reduce, and join. Python programs can be written using PySpark API.

  • Spark architecture includes components like Driver, Executor, and Cluster Manager.

  • Transformations like map, filter, reduce, and join are commonly used in Spark.

  • PySpark API allows writing Python programs for Spark applications.

  • Example: Using map transformation to square each element in an...

A Data Engineer was asked
Q. Easy problems in python.
Ans. 

Finding the sum of elements in an array

  • Use the built-in sum() function to find the sum of elements in an array

  • Iterate through the array and add each element to a running total

  • Handle edge cases such as empty arrays or arrays with non-numeric elements

Are these interview questions helpful?

Genpact Data Engineer Interview Experiences

9 interviews found

Data Engineer Interview Questions & Answers

user image Sashikanta Parida

posted on 17 Dec 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(3 Questions)

  • Q1. What are different type of joins available in Databricks?
  • Ans. 

    Different types of joins available in Databricks include inner join, outer join, left join, right join, and cross join.

    • Inner join: Returns only the rows that have matching values in both tables.

    • Outer join: Returns all rows when there is a match in either table.

    • Left join: Returns all rows from the left table and the matched rows from the right table.

    • Right join: Returns all rows from the right table and the matched rows ...

  • Answered by AI
  • Q2. How do you make your data pipeline fault tolerant?
  • Ans. 

    Implementing fault tolerance in a data pipeline involves redundancy, monitoring, and error handling.

    • Use redundant components to ensure continuous data flow

    • Implement monitoring tools to detect failures and bottlenecks

    • Set up automated alerts for immediate response to issues

    • Design error handling mechanisms to gracefully handle failures

    • Use checkpoints and retries to ensure data integrity

  • Answered by AI
  • Q3. What is AutoLoader?
  • Ans. 

    AutoLoader is a feature in data engineering that automatically loads data from various sources into a data warehouse or database.

    • Automates the process of loading data from different sources

    • Reduces manual effort and human error

    • Can be scheduled to run at specific intervals

    • Examples: Apache Nifi, AWS Glue

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. How do you connect to different services in Azure?
  • Ans. 

    To connect to different services in Azure, you can use Azure SDKs, REST APIs, Azure Portal, Azure CLI, and Azure PowerShell.

    • Use Azure SDKs for programming languages like Python, Java, C#, etc.

    • Utilize REST APIs to interact with Azure services programmatically.

    • Access and manage services through the Azure Portal.

    • Leverage Azure CLI for command-line interface interactions.

    • Automate tasks using Azure PowerShell scripts.

  • Answered by AI
  • Q2. What are linked Services?
  • Ans. 

    Linked Services are connections to external data sources or destinations in Azure Data Factory.

    • Linked Services define the connection information needed to connect to external data sources or destinations.

    • They can be used in Data Factory pipelines to read from or write to external systems.

    • Examples of Linked Services include Azure Blob Storage, Azure SQL Database, and Amazon S3.

  • Answered by AI

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 29 May 2025

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I appeared for an interview in Apr 2025, where I was asked the following questions.

  • Q1. Questions on ADF
  • Q2. Questions on spark
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I appeared for an interview in Sep 2024.

Round 1 - Coding Test 

1. SQL question on joins, rank .
2. rank vs dense rank
3. PySpark optimization techniques.
4. Problem that you faced in your project while writing pyspark application. How you debug them, solve them and deploy the fix.
5. PySpark Architecture

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare the standard SQL and PySpark question. Interviewer was good and didn't rush through.

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 25 Sep 2023

Interview experience
4
Good
Difficulty level
-
Process Duration
2-4 weeks
Result
-
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 - Aptitude Test 

Its was moderate and had to concentrate more or logical part

Round 3 - Technical 

(1 Question)

  • Q1. I don't remember as of now but i could remember that most of questions were from the core concepts of the skills mentioned in the resume
Round 4 - HR 

(1 Question)

  • Q1. Regular questions like why should we hire you, tell me about yourself, interest hobbies, etc

Interview Preparation Tips

Interview preparation tips for other job seekers - Concentrate on core concepts and try to explain in detail
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Coalesce and partitionby

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare databricks

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 16 Jan 2024

Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Jul 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Basic questions about the technology you'll be using.

Round 2 - Technical 

(1 Question)

  • Q1. Easy problems in python.
  • Ans. 

    Finding the sum of elements in an array

    • Use the built-in sum() function to find the sum of elements in an array

    • Iterate through the array and add each element to a running total

    • Handle edge cases such as empty arrays or arrays with non-numeric elements

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. If you sit for HR round you're hired.

Interview Preparation Tips

Interview preparation tips for other job seekers - Clear basics and solve questions regularly DSA all the way

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 31 May 2024

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

I appeared for an interview before May 2023.

Round 1 - Technical 

(1 Question)

  • Q1. Spark architecture transformations used gave a python program to code
  • Ans. 

    Spark architecture involves transformations like map, filter, reduce, and join. Python programs can be written using PySpark API.

    • Spark architecture includes components like Driver, Executor, and Cluster Manager.

    • Transformations like map, filter, reduce, and join are commonly used in Spark.

    • PySpark API allows writing Python programs for Spark applications.

    • Example: Using map transformation to square each element in an RDD.

  • Answered by AI
Round 2 - One-on-one 

(1 Question)

  • Q1. It was managerial round with questions on projects I had worked and some generic leadership questions

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 25 Aug 2022

I applied via Recruitment Consulltant

Round 1 - Aptitude Test 

Logical Reasoning Quants English and SQL medium level

Round 2 - Technical 

(1 Question)

  • Q1. Questions on your projects and past experience.
Round 3 - HR 

(1 Question)

  • Q1. Tell me about yourself. Why this role? Why should we hire you?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be honest on the things you know. Dont go round if you dont know something.

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 21 Jul 2022

I applied via Job Portal and was interviewed before Jul 2021. There were 2 interview rounds.

Round 1 - Coding Test 

Coding test in hacker rank, easy

Round 2 - One-on-one 

(1 Question)

  • Q1. Questions related to dbms, Computer network, basic programming language

Interview Preparation Tips

Interview preparation tips for other job seekers - For freshers, its easy but the pay is less.

Interview questions from similar companies

I applied via Naukri.com and was interviewed before Aug 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Technical questions : 1)oops concepts 2)plsql cursors, triggers, procedures 3)quick sort algorithm

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with your resume. None of the questions were asked out of resume.

Genpact Interview FAQs

How many rounds are there in Genpact Data Engineer interview?
Genpact interview process usually has 2-3 rounds. The most common rounds in the Genpact interview process are Technical, Coding Test and HR.
How to prepare for Genpact Data Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Genpact. The most common topics and skills that interviewers at Genpact expect are Python, SQL, AWS, ETL and Spark.
What are the top questions asked in Genpact Data Engineer interview?

Some of the top questions asked at the Genpact Data Engineer interview -

  1. What are different type of joins available in Databric...read more
  2. How do you make your data pipeline fault tolera...read more
  3. How do you connect to different services in Azu...read more

Tell us how to improve this page.

Overall Interview Experience Rating

4.3/5

based on 7 interview experiences

Difficulty level

Easy 20%
Moderate 80%

Duration

Less than 2 weeks 67%
2-4 weeks 33%
View more
Genpact Data Engineer Salary
based on 274 salaries
₹8 L/yr - ₹14 L/yr
8% less than the average Data Engineer Salary in India
View more details

Genpact Data Engineer Reviews and Ratings

based on 25 reviews

3.1/5

Rating in categories

3.1

Skill development

3.6

Work-life balance

2.9

Salary

3.7

Job security

3.0

Company culture

2.4

Promotions

3.1

Work satisfaction

Explore 25 Reviews and Ratings
Inviting applications For the role of AWS DataLake Data Engineer

Kolkata,

Hyderabad / Secunderabad

+1

8-13 Yrs

Not Disclosed

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