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Capgemini Azure Data Engineer Interview Questions, Process, and Tips

Updated 21 Jan 2025

Top Capgemini Azure Data Engineer Interview Questions and Answers

  • Q1. How to read parquet file, how to call notebook from adf, Azure Devops CI/CD Process, system variables in adf
  • Q2. difference between persist and cache in pyspark?
  • Q3. How you migrated oracle data into azure?
View all 6 questions

Capgemini Azure Data Engineer Interview Experiences

10 interviews found

I applied via Naukri.com and was interviewed before Dec 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. How to read parquet file, how to call notebook from adf, Azure Devops CI/CD Process, system variables in adf
  • Ans. 

    Answering questions related to Azure Data Engineer interview

    • To read parquet file, use PyArrow or Pandas library

    • To call notebook from ADF, use Notebook activity in ADF pipeline

    • For Azure DevOps CI/CD process, use Azure Pipelines

    • System variables in ADF can be accessed using expressions like @pipeline().RunId

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for adf, adb and sql questions. It is preferred to have knowledge in either scala spark or pyspark.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(5 Questions)

  • Q1. How would you create a pipeline for ADLS to SQL data movement?
  • Q2. How would you create a pipeline from REST API to ADLS? What is there are 8 million rows of records?
  • Q3. IF data needs filtering, joining and aggregation, how would you do it with ADF?
  • Q4. Explain medallion architecture.
  • Q5. Explain medallion with databricks
Round 2 - HR 

(1 Question)

  • Q1. Basic questions and salary expectation.

Interview Preparation Tips

Topics to prepare for Capgemini Azure Data Engineer interview:
  • ADF
  • Databricks

Azure Data Engineer Interview Questions Asked at Other Companies

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Q1. 7. How can we load multiple(50)tables at a time using adf?
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Q2. Difference between RDD, Dataframe and Dataset. How and what you h ... read more
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Q3. What is incremental load and other types of loads? How do you imp ... read more
asked in TCS
Q4. 2. What is the get metadata activity and what are the parameters ... read more
asked in KPMG India
Q5. What are key components in ADF? What all you have used in your pi ... read more
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Spark Architecture
Round 2 - Technical 

(2 Questions)

  • Q1. Explain your project
  • Q2. Remove duplicates
  • Ans. 

    Use DISTINCT keyword in SQL to remove duplicates from a dataset.

    • Use SELECT DISTINCT column_name FROM table_name to retrieve unique values from a specific column.

    • Use SELECT DISTINCT * FROM table_name to retrieve unique rows from the entire table.

    • Use GROUP BY clause with COUNT() function to remove duplicates based on specific criteria.

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Salary expectations

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Explanation about the project and what services are being used
  • Ans. 

    The project involves building a data pipeline to ingest, process, and analyze data using Azure services.

    • The project utilizes Azure Data Factory for data ingestion and orchestration.

    • Azure Databricks is used for data processing and analytics.

    • Azure Synapse Analytics is used for data warehousing and querying.

    • Azure Blob Storage is used for storing raw and processed data.

    • Azure SQL Database is used for transactional data stor

  • Answered by AI
  • Q2. How you migrated oracle data into azure?
  • Ans. 

    I migrated Oracle data into Azure using Azure Data Factory and Azure Database Migration Service.

    • Used Azure Data Factory to create pipelines for data migration

    • Utilized Azure Database Migration Service for schema and data migration

    • Ensured data consistency and integrity during the migration process

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Basic questions were asked

Skills evaluated in this interview

Capgemini interview questions for designations

 Azure DevOps Engineer

 (1)

 Azure Administrator

 (3)

 Azure Developer

 (3)

 Data Engineer

 (33)

 Gcp Data Engineer

 (5)

 Senior Data Engineer

 (3)

 Data Science Engineer

 (2)

 Big Data Engineer

 (1)

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. They will ask about azure architecture
  • Q2. One pyspark/SQL use case to code

Get interview-ready with Top Capgemini Interview Questions

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Multiple Question on Azure services like Databricks, ADF, Delta Lake, Blob Storage, How to connect with Azure SQL.

Azure Data Engineer Jobs at Capgemini

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

(1 Question)

  • Q1. Ragarding adf and adb
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed before Jan 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. SDC 1 and SDC 2 in ADF explain with example
  • Q2. Read a csv file in pyspark
Round 2 - Technical 

(2 Questions)

  • Q1. Difference between persist and cache in pyspark?
  • Q2. Questions on window and group by scenario based questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
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 - Technical 

(1 Question)

  • Q1. 1. Scenario base qus on adf and databriks
Round 3 - HR 

(1 Question)

  • Q1. Normal discussion
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Mar 2023. There were 3 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 - Technical 

(1 Question)

  • Q1. Scenario base questions for adf and databriks
Round 3 - HR 

(1 Question)

  • Q1. General discussion

Capgemini Interview FAQs

How many rounds are there in Capgemini Azure Data Engineer interview?
Capgemini interview process usually has 1-2 rounds. The most common rounds in the Capgemini interview process are Technical, HR and Resume Shortlist.
How to prepare for Capgemini Azure 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 Capgemini. The most common topics and skills that interviewers at Capgemini expect are Python, SQL, Spark, Azure and Azure Data Factory.
What are the top questions asked in Capgemini Azure Data Engineer interview?

Some of the top questions asked at the Capgemini Azure Data Engineer interview -

  1. How to read parquet file, how to call notebook from adf, Azure Devops CI/CD Pro...read more
  2. difference between persist and cache in pyspa...read more
  3. How you migrated oracle data into azu...read more

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Capgemini Azure Data Engineer Interview Process

based on 10 interviews

3 Interview rounds

  • Technical Round - 1
  • Technical Round - 2
  • HR Round
View more
Capgemini Azure Data Engineer Salary
based on 491 salaries
₹3.5 L/yr - ₹15.3 L/yr
At par with the average Azure Data Engineer Salary in India
View more details

Capgemini Azure Data Engineer Reviews and Ratings

based on 37 reviews

3.9/5

Rating in categories

4.3

Skill development

4.0

Work-life balance

3.4

Salary

4.0

Job security

4.2

Company culture

3.4

Promotions

3.8

Work satisfaction

Explore 37 Reviews and Ratings
Azure Data Engineer

Hyderabad / Secunderabad

4-9 Yrs

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Mumbai

5-10 Yrs

₹ 11-21 LPA

Azure Data Engineer

Gurgaon / Gurugram

3-6 Yrs

Not Disclosed

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