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Capgemini Data Engineer Interview Questions, Process, and Tips

Updated 14 Jan 2025

Top Capgemini Data Engineer Interview Questions and Answers

  • Q1. How will you Join if two tables are large in pyspark?
  • Q2. Write a SQL to get Student names who got marks>45 in each subject from Student table
  • Q3. How to remove Duplicates in Data frame using pyspark?
View all 40 questions

Capgemini Data Engineer Interview Experiences

33 interviews found

Data Engineer Interview Questions & Answers

user image Brijesh yadav

posted on 9 Jan 2025

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

(3 Questions)

  • Q1. What are the optimization techniques used in Apache Spark?
  • Q2. 2 SQL queries , 1 PySpark code and 1 Python Code .
  • Q3. 2-3 Scenario Based questions from ADF and databricks .

Data Engineer Interview Questions & Answers

user image nikhil yeole

posted on 14 Jan 2025

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

(1 Question)

  • Q1. Basic question on AWS and SQL,Pyspark,Python

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Data Engineer Interview Questions & Answers

user image Anonymous

posted on 25 Jul 2024

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I was interviewed in Jun 2024.

Round 1 - Technical 

(13 Questions)

  • Q1. How to remove Duplicates in Data frame using pyspark?
  • Ans. 

    Use dropDuplicates() function in pyspark to remove duplicates in a data frame.

    • Use dropDuplicates() function on the data frame to remove duplicates based on all columns.

    • Specify subset of columns to remove duplicates based on specific columns.

    • Use the distinct() function to remove duplicates and keep only distinct rows.

  • Answered by AI
  • Q2. What is Broadcast join ? How is this useful
  • Ans. 

    Broadcast join is a type of join operation in distributed computing where one smaller dataset is broadcasted to all nodes for efficient processing.

    • Reduces data shuffling by sending smaller dataset to all nodes

    • Useful when one dataset is significantly smaller than the other

    • Improves performance by reducing network traffic and processing time

  • Answered by AI
  • Q3. What is Re-Partition and Coalesce? How are these used?
  • Ans. 

    Re-Partition and Coalesce are methods used to control the number of partitions in a dataset in Apache Spark.

    • Re-Partition is used to increase or decrease the number of partitions in a dataset by shuffling the data across the cluster.

    • Coalesce is used to decrease the number of partitions in a dataset without shuffling the data, which can improve performance.

    • Re-Partition is typically used when there is a need to increase p...

  • Answered by AI
  • Q4. Write Python code to Extract Pincode from Address Field in Dataframe using Pyspark?
  • Ans. 

    Extract Pincode from Address Field in Dataframe using Pyspark

    • Use pyspark.sql.functions regexp_extract() function to extract pincode from address field

    • Create a new column in the dataframe to store the extracted pincode

    • Specify the regular expression pattern for pincode extraction

    • Example: df.withColumn('pincode', regexp_extract(df['address'], '\b\d{6}\b', 0))

  • Answered by AI
  • Q5. Write a SQL to get Student names who got marks>45 in each subject from Student table
  • Ans. 

    SQL query to retrieve student names with marks > 45 in each subject

    • Use GROUP BY and HAVING clauses to filter students with marks > 45 in each subject

    • Join Student table with Marks table on student_id to get marks for each student

    • Select student names from Student table based on the conditions

  • Answered by AI
  • Q6. How to Enable Hive support in spark?
  • Ans. 

    Enable Hive support in Spark for seamless integration of Hive tables and queries.

    • Set 'spark.sql.catalogImplementation' to 'hive' in SparkConf

    • Include 'spark-hive' dependency in the Spark application

    • Ensure Hive configuration files are available in the classpath

    • Use HiveContext or enable Hive support in SparkSession

  • Answered by AI
  • Q7. Explain Joins in spark using pyspark
  • Ans. 

    Joins in Spark using PySpark are used to combine data from two different DataFrames based on a common key.

    • Joins are performed using the join() function in PySpark.

    • Common types of joins include inner join, outer join, left join, and right join.

    • Example: df1.join(df2, df1.key == df2.key, 'inner')

  • Answered by AI
  • Q8. How will you Join if two tables are large in pyspark?
  • Ans. 

    Use broadcast join or partition join in pyspark to join two large tables efficiently.

    • Use broadcast join for smaller table and partition join for larger table.

    • Broadcast join - broadcast the smaller table to all worker nodes.

    • Partition join - partition both tables on the join key and join them.

    • Example: df1.join(broadcast(df2), 'join_key')

    • Example: df1.join(df2, 'join_key').repartition('join_key')

  • Answered by AI
  • Q9. What is df.explain() in pyspark
  • Ans. 

    df.explain() in pyspark is used to display the physical plan of the DataFrame operations.

    • df.explain() is used to show the execution plan of the DataFrame operations in pyspark.

    • It helps in understanding how the operations are being executed and optimized by Spark.

    • The output of df.explain() includes details like the logical and physical plans, optimizations applied, and stages of execution.

  • Answered by AI
  • Q10. Explain spark architecture
  • Ans. 

    Spark architecture is a distributed computing framework that consists of a driver program, cluster manager, and worker nodes.

    • Spark driver program coordinates the execution of tasks and maintains the overall state of the application.

    • Cluster manager allocates resources for the application and monitors its execution.

    • Worker nodes execute the tasks assigned by the driver program and store data in memory or disk.

    • Spark archit...

  • Answered by AI
  • Q11. What Purpose of Lineage graph ?
  • Ans. 

    Lineage graph is used to track the flow of data from source to destination, helping in understanding data dependencies and impact analysis.

    • Helps in understanding data dependencies and relationships

    • Tracks the flow of data from source to destination

    • Aids in impact analysis and troubleshooting

    • Useful for data governance and compliance

    • Can be visualized to easily comprehend complex data pipelines

  • Answered by AI
  • Q12. External Table vs Internal table
  • Ans. 

    External tables store data outside the database while internal tables store data within the database.

    • External tables reference data stored outside the database, such as in HDFS or S3, while internal tables store data within the database itself.

    • External tables are typically used for data that is not managed by the database system, while internal tables are used for data that is managed by the database system.

    • External ta...

  • Answered by AI
  • Q13. Assume below Dataframes DF1 (UserID,Name) DF2 (UserID,PageID,Timestamp,Events) Write code to Join the DF's, Count the No of Events and filter Users with 0 Events
  • Ans. 

    Join DF's, count events, filter users with 0 events

    • Use join operation to combine DF1 and DF2 on UserID

    • Group by UserID and count the number of events

    • Filter out users with 0 events

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Practice Pyspark,python and SQL Hands on

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Narmatha Rengaraj

posted on 27 Nov 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via campus placement at Government College of Engineering, Salem and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What are the SQL concepts
  • Q2. Phython data frame concepts and all

Interview Preparation Tips

Interview preparation tips for other job seekers - Nothing

Capgemini interview questions for designations

 Senior Data Engineer

 (3)

 Big Data Engineer

 (1)

 Data Architect

 (1)

 Azure Data Engineer

 (10)

 Gcp Data Engineer

 (5)

 Data Science Engineer

 (2)

 Associate Data Engineer

 (1)

 Data Analyst

 (53)

Data Engineer Interview Questions & Answers

user image Ziad Ouldbouya

posted on 5 Sep 2024

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

I applied via LinkedIn and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Describe yourself
  • Ans. 

    I am a detail-oriented data engineer with a passion for problem-solving and a strong background in programming and data analysis.

    • Experienced in designing and implementing data pipelines

    • Proficient in programming languages such as Python, SQL, and Java

    • Skilled in data modeling and database management

    • Strong analytical skills and ability to work with large datasets

    • Excellent communication and teamwork skills

  • Answered by AI
  • Q2. Summary of your formation
  • Ans. 

    I have a Bachelor's degree in Computer Science and a Master's degree in Data Engineering.

    • Bachelor's degree in Computer Science

    • Master's degree in Data Engineering

  • Answered by AI
Round 2 - Coding Test 

Some DSA problems medium level

Round 3 - Technical 

(2 Questions)

  • Q1. Spark archi, hadoop ecosystem, hive
  • Q2. Some sql questions also

Get interview-ready with Top Capgemini Interview Questions

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 18 Oct 2024

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 Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Find the second largest
  • Ans. 

    To find the second largest element in an array

    • Sort the array in descending order

    • Return the element at index 1

  • Answered by AI
  • Q2. Drop duplicates

Interview Preparation Tips

Interview preparation tips for other job seekers - questions from spark architecture, sql and python.

Skills evaluated in this interview

Data Engineer Jobs at Capgemini

View all

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 19 Aug 2024

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

I applied via Company Website and was interviewed in Jul 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

Numeric ability , reasoning, maths

Round 2 - Coding Test 

Python , data structures, c , c++, java

Round 3 - Technical 

(2 Questions)

  • Q1. Python to write a factorial
  • Ans. 

    Python code to calculate factorial of a number

    • Use a recursive function to calculate the factorial

    • Base case: if n is 0 or 1, return 1

    • Recursive case: return n * factorial(n-1)

    • Example: def factorial(n): return 1 if n == 0 or n == 1 else n * factorial(n-1)

  • Answered by AI
  • Q2. Ddl commands and dml
Round 4 - HR 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Why IT after electrical engineering
  • Ans. 

    Combining my electrical engineering background with IT skills allows me to work on cutting-edge technologies and solve complex problems.

    • Interest in technology and data analysis sparked during electrical engineering studies

    • Realized the potential of combining electrical engineering knowledge with IT for innovative solutions

    • Opportunities in data engineering field align with my career goals

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Gaurav Gujjar

posted on 8 Sep 2024

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

(2 Questions)

  • Q1. Optimization technique in pyspark
  • Ans. 

    One optimization technique in PySpark is using partitioning to distribute data evenly across nodes.

    • Use partitioning to distribute data evenly across nodes

    • Avoid shuffling data unnecessarily

    • Cache intermediate results to avoid recomputation

  • Answered by AI
  • Q2. How to handle data skewness ?
  • Ans. 

    Data skewness can be handled by partitioning data, using sampling techniques, optimizing queries, and using parallel processing.

    • Partitioning data based on key values to distribute workload evenly

    • Using sampling techniques to estimate skewed data distribution

    • Optimizing queries by using appropriate indexes and query optimization techniques

    • Using parallel processing to distribute workload across multiple nodes

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 28 Aug 2024

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

(2 Questions)

  • Q1. Write a query to find the 2nd highest salary.
  • Ans. 

    Query to find the 2nd highest salary in a database table.

    • Use the ORDER BY clause to sort salaries in descending order.

    • Use the LIMIT clause to retrieve the second row.

    • Consider handling cases where there may be ties for the highest salary.

  • Answered by AI
  • Q2. Write a code to count frequency of elements in a list.
  • Ans. 

    Code to count frequency of elements in a list of strings.

    • Use a dictionary to store the frequency of each element in the list.

    • Iterate through the list and update the count in the dictionary.

    • Return the dictionary with element frequencies.

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image prachi gujar

posted on 14 Jun 2024

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

I applied via Naukri.com and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What are the Components of Data factory pipeline ?
  • Ans. 

    Components of Data factory pipeline include datasets, activities, linked services, triggers, and pipelines.

    • Datasets: Define the data structure and location for input and output data.

    • Activities: Define the actions to be performed on the data such as data movement, data transformation, or data processing.

    • Linked Services: Define the connections to external data sources or destinations.

    • Triggers: Define the conditions that ...

  • Answered by AI
  • Q2. What is the activity use for creating email notification?
  • Ans. 

    The activity used for creating email notification is sending an email.

    • Use SMTP (Simple Mail Transfer Protocol) to send emails

    • Set up an email server or use a third-party email service provider

    • Include the recipient's email address, subject, and message content

    • Can be automated using tools like Python's smtplib library or email marketing platforms like Mailchimp

  • Answered by AI
Round 2 - Coding Test 

English test for reading,writting ,listening,speaking skills

Round 3 - HR 

(2 Questions)

  • Q1. Tell me about yourself ?
  • Q2. Career background and experience?

Skills evaluated in this interview

Capgemini Interview FAQs

How many rounds are there in Capgemini Data Engineer interview?
Capgemini interview process usually has 1-2 rounds. The most common rounds in the Capgemini interview process are Technical, One-on-one Round and HR.
How to prepare for Capgemini 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, Spark, AWS, SCALA and SQL.
What are the top questions asked in Capgemini Data Engineer interview?

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

  1. How will you Join if two tables are large in pyspa...read more
  2. Write a SQL to get Student names who got marks>45 in each subject from Student...read more
  3. How to remove Duplicates in Data frame using pyspa...read more
How long is the Capgemini Data Engineer interview process?

The duration of Capgemini Data Engineer interview process can vary, but typically it takes about less than 2 weeks to complete.

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Capgemini Data Engineer Interview Process

based on 40 interviews

2 Interview rounds

  • Technical Round - 1
  • Technical Round - 2
View more

Data Engineer Interview Questions from Similar Companies

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Capgemini Data Engineer Salary
based on 1.5k salaries
₹2.8 L/yr - ₹15.9 L/yr
16% less than the average Data Engineer Salary in India
View more details

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based on 112 reviews

3.5/5

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3.6

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3.6

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2.9

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3.7

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3.5

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2.6

Promotions

3.2

Work satisfaction

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