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Virtusa Consulting Services Data Engineer Interview Questions and Answers
7 Interview questions
The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.
Local mode: Spark runs on a single machine with one executor.
Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.
YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.
Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.
reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.
reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.
groupBy is a transformation that groups the data based on a key and returns a grouped data set.
reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupB...
Apache Spark architecture includes a cluster manager, worker nodes, and driver program.
Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.
Worker nodes execute tasks and store data in memory or disk.
Driver program coordinates tasks and communicates with the cluster manager.
Spark applications run as independent sets of processes on a cluster, coordinated by the Spa...
RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.
RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.
DataFrames provide optimizations like query optimization and...
What people are saying about Virtusa Consulting Services
PySpark is a Python API for Apache Spark, used for big data processing and analytics.
PySpark is a Python API for Apache Spark, a fast and general-purpose cluster computing system.
It allows for easy integration with Python libraries and provides high-level APIs in Python.
PySpark can be used for processing large datasets, machine learning, real-time data streaming, and more.
It supports various data sources such as H...
PySpark is a Python API for Apache Spark, while Python is a general-purpose programming language.
PySpark is specifically designed for big data processing using Spark, while Python is a versatile programming language used for various applications.
PySpark allows for distributed computing and parallel processing, while Python is primarily used for sequential programming.
PySpark provides libraries and tools for workin...
WITH clause in SQL is used to create temporary named result sets that can be referenced within the main query.
WITH clause is used to improve the readability and maintainability of complex SQL queries.
It allows creating subqueries or common table expressions (CTEs) that can be referenced multiple times.
The result sets created using WITH clause can be used for recursive queries, data transformation, or simplifying c...
Virtusa Consulting Services Data Engineer Interview Experiences
5 interviews found
Anonymous
I appeared for an interview in Jun 2025, where I was asked the following questions.
- Q1. I was asked to explain the concepts of Snowflake, AWS, Spark, and several Python libraries.
- Q2. Explain the concepts
SHIKHA
(4 Questions)
- Q1. What is the architecture of Apache Spark?
- Ans.
Apache Spark architecture includes a cluster manager, worker nodes, and driver program.
Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.
Worker nodes execute tasks and store data in memory or disk.
Driver program coordinates tasks and communicates with the cluster manager.
Spark applications run as independent sets of processes on a cluster, coordinated by the SparkCon...
- Q2. What is the difference between the reduceBy and groupBy transformations in Apache Spark?
- Ans.
reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.
reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.
groupBy is a transformation that groups the data based on a key and returns a grouped data set.
reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupBy shu...
- Q3. What is the difference between RDD (Resilient Distributed Datasets) and DataFrame in Apache Spark?
- Ans.
RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.
RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.
DataFrames provide optimizations like query optimization and code...
- Q4. What are the different modes of execution in Apache Spark?
- Ans.
The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.
Local mode: Spark runs on a single machine with one executor.
Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.
YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.
Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.
(2 Questions)
- Q1. What is PySpark, and can you explain its features and uses?
- Ans.
PySpark is a Python API for Apache Spark, used for big data processing and analytics.
PySpark is a Python API for Apache Spark, a fast and general-purpose cluster computing system.
It allows for easy integration with Python libraries and provides high-level APIs in Python.
PySpark can be used for processing large datasets, machine learning, real-time data streaming, and more.
It supports various data sources such as HDFS, ...
- Q2. What is the difference between PySpark and Python?
- Ans.
PySpark is a Python API for Apache Spark, while Python is a general-purpose programming language.
PySpark is specifically designed for big data processing using Spark, while Python is a versatile programming language used for various applications.
PySpark allows for distributed computing and parallel processing, while Python is primarily used for sequential programming.
PySpark provides libraries and tools for working wit...
(1 Question)
- Q1. What is with clause in SQL ?
- Ans.
WITH clause in SQL is used to create temporary named result sets that can be referenced within the main query.
WITH clause is used to improve the readability and maintainability of complex SQL queries.
It allows creating subqueries or common table expressions (CTEs) that can be referenced multiple times.
The result sets created using WITH clause can be used for recursive queries, data transformation, or simplifying comple...
Skills evaluated in this interview
Selected
I applied via Campus Placement and was interviewed before Jan 2022. There were 2 interview rounds.
Coding Test and Web Development
(4 Questions)
- Q1. Project related questions
- Q2. Tell about your Projects
- Ans.
I have worked on various projects involving data engineering, including building data pipelines and optimizing data storage.
Built a data pipeline using Apache Kafka and Apache Spark to process and analyze real-time streaming data.
Optimized data storage by implementing data partitioning and indexing techniques in a large-scale data warehouse.
Developed ETL processes to extract data from various sources, transform it, and...
- Q3. Tell me about yourself
- Ans.
I am a data engineer with experience in designing and implementing data pipelines for large-scale projects.
Experienced in building and optimizing data pipelines using tools like Apache Spark and Hadoop
Proficient in programming languages like Python and SQL
Skilled in data modeling and database design
Familiar with cloud platforms like AWS and GCP
Strong problem-solving and analytical skills
Effective communicator and team ...
- Q4. Questions about core technologies
Interview Preparation Tips
Interview questions from similar companies
Interview Questionnaire
3 Questions
- Q1. Basic questions from the resume content. Be through with the project mentioned in your resume. Also try to prepare at least one object oriented language basics.
- Q2. I was asked questions on RADIUS TACACS Firewalls and VPN as I had mentioned network security in my resume
- Q3. Not at all difficult just as general HR interview
Interview Preparation Tips
Experience: If you are applying as a fresher, you may have to appear for a test which will have basic aptitude questions on General Maths and English followed by two basic coding questions in any language like C C++ Java etc
Round: Group Discussion
Experience: Just be confident in keeping your point. Cracking this won't be that difficult.
NIDHI PRIYADARSHINI
Interview Questionnaire
6 Questions
- Q1. Tell me about your project
- Ans.
Developed a web-based project management tool for a startup
Used React for the frontend and Node.js for the backend
Implemented user authentication and authorization using JWT
Integrated with third-party APIs such as Trello and Slack
Implemented real-time updates using WebSockets
Deployed on AWS using EC2 and RDS
- Q2. Write the idea or algorithm for d program of fibonacci series
- Q3. One question from your subject
- Q4. Introduce yourself
- Ans.
I am a software engineer with experience in developing web applications and mobile apps.
Proficient in programming languages such as Java, Python, and JavaScript
Skilled in using frameworks like React, Angular, and Spring Boot
Experienced in working with databases such as MySQL and MongoDB
Familiar with Agile development methodologies and DevOps practices
- Q5. If I give you a box full of pencils..in how many ways can you use it
- Q6. Do you have any question for me
Interview Preparation Tips
Experience: Time management is very important to clear the aptitude test. Besides this a lot of practice is also very important. This round is the major filteration round. Though each round is a major filteration round cuz NTT DATA is not a bulk recruiter like cts, infy etc. Almost 2-3 thousand students were there for this round from 6 different colleges and only 100 of them were selected.
Tips: Its better to start with the preparation from before and do consider the previous year placement papers available at indiabix. You can practice more n more. Apart from this you can go through the r.s aggarwal aptitude book also.
Round: Group Discussion
Experience: There were many panels and each panel had 10-12 students. The H.r first decided some other topic but when he asked wether everybody is aware of the topic ..there were few who didn't know about it. .so he picked up another topic. Fortunately he asked me to start with the discussion. Always try to be the one to break the ice.
Tips: The only key to crack this round is that yku should talk. You should definitely not confuse gd with debate. You should not argue or by any chance shouldn't sound arrogant.
Round: Technical Interview
Experience: They will definitely ask about your project so be thorough with that. Ntt data is a Japanese company . Though this is IT but it will ask from the subject of your own choice from people those who have a non IT background. After you get shortlisted in d gd they will give you a form to fill. Do fill that form without fail. If it is blank then even if u go to the hr round he will reject you.
Tips: Just be confident and always smile. Be careful on what you write in your resume cuz they can ask about anything based on your resume.
Round: HR Interview
Experience: This round was a cake walk. Just be confident and updated about the company. Do ask him a question if he asks you to do that.but make sure it shouldn't be vague or out of the picture.
Tips: Keep smiling and don't get nervous. If they ask you about location preferences, dun get firm at one place.try to be flexible.
General Tips: Donot loose hope at any cost. You never know when your moment is going to arrive. Do practice the aptitude as much as you can. Finally NTT DATA selected only 50 overall in wch 11 were from my college n i was lucky to be one of them. the offer letter was issued the same day and we were all venerated. Its just a game of confidence. All the best
Skill Tips: Try to add some co curricular activities and justify your role.
Skills: communication, technical knowledge, management skills, leadership
College Name: SATHYABAMA UNIVERSITY
Motivation: You will find the it companies mostly head quartered in U.S but this company is in Japan. Plus you have better opportunity and growth compared to other companies cuz its not a bulk recruiter.
Skills evaluated in this interview
kalyan yashwanth
Interview Questionnaire
2 Questions
- Q1. Java ( socket programming, OOPS, DS )
- Q2. Write about your dream
- Ans.
My dream is to build innovative software solutions that positively impact people's lives.
Developing cutting-edge technology
Creating user-friendly interfaces
Solving complex problems
Collaborating with talented individuals
Making a difference in society
Continuous learning and growth
Interview Preparation Tips
Experience: GRE givers , you can make it through this. Brush up your technical skills for the programming section.
Tips: GRE quant and verbal and quick review from tutorialspoint.com would do the trick.
Round: Group Discussion
Experience: I had fun. I won a few debate competitions in various technical symposiums so, It gave a good experience about being quiet at the right moment.
Tips: Turn to your GRAB-ON mode. Never miss any chance. Learn to know when to be quiet and when to talk in a GD. Try to bring down the heat If two participants are getting into a argumentative discussion.
Round: Stress Interview
Experience: It was really difficult. Exactly after the GD, we were asked to right an essay in a very less time and our capability to manage the stress was observed.
Tips: Be calm and write all that you know in a presentable way.
Round: Technical Interview
Experience: I did a project in my 3rd year which included few concepts on Socket programming which helped me a bit in this round. I answered confidently and I was put to a confidence test too to see how sure I was about the answer.
Tips: A quick review on the day of interview and involving in friendly discussion about programming languages before the test helps.
Round: HR Interview
Experience: I was asked few technical questions in this round and later moved on to the general logical questions. Questions like, cutting a bread into multiple slices, finding the corresponding switch among 3 switches for 3 bulbs in room were asked. Find the sum of 1-10 in 4 seconds was asked suddenly. Thanks to Arithmetic Progressions :P.
Tips: Use your logical ability to answer.
Skills: Java, C, Body Language, Mental ability, Confidence.
College Name: Malla Reddy Institute of Engineering & Technology ( MRIET )
Motivation: Ranked among the top 50 of the Fortune 500. Expanding organizations which include lot of opportunities.
Interview Preparation Tips
Experience: This round they want to know about why do you want to leave your job?
current ctc
expected ctc
how many experience do you have on particular technology?
Tips: this round is simple you have to tell all the details of your profile and if they want this profile candidate they shortlisted you..
they want positive response, so be positive.
Interview Questionnaire
3 Questions
- Q1. Basics questions regarding my project and about .net
- Q2. Salary negotiation
- Q3. Manger was giving me different scenarios of programming s
Interview Preparation Tips
Experience: I was having 1.7 yr experience and i was working on .net
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