Upload Button Icon Add office photos
Engaged Employer

i

This company page is being actively managed by KPIT Technologies Team. If you also belong to the team, you can get access from here

KPIT Technologies Verified Tick

Compare button icon Compare button icon Compare
3.4

based on 2.7k Reviews

Filter interviews by

KPIT Technologies Data Engineer Interview Questions and Answers

Updated 3 Apr 2024

KPIT Technologies Data Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Oct 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Test kn logical reasons , date time , train , relationship questions.

Round 2 - Coding Test 

Basic python questions

Interview questions from similar companies

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

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

Round 1 - Coding Test 

Basic Python, SQL, and Bash questions

Round 2 - One-on-one 

(4 Questions)

  • Q1. SQL questions with operations that include changing from string to array. Tip: stick to RDBMS-specific dialects only (like Postgres), I used Spark SQL
  • Q2. Simple Python questions with a follow-up to optimise it
  • Q3. Bash script-based questions, are pretty basic.
  • Q4. Data pipeline design and best practices.
  • Ans. 

    Data pipeline design involves creating a system to efficiently collect, process, and analyze data.

    • Understand the data sources and requirements before designing the pipeline.

    • Use tools like Apache Kafka, Apache NiFi, or AWS Glue for data ingestion and processing.

    • Implement data validation and error handling mechanisms to ensure data quality.

    • Consider scalability and performance optimization while designing the pipeline.

    • Doc...

  • Answered by AI
Round 3 - One-on-one 

(3 Questions)

  • Q1. Easy to medium Leetcode-based question. With moderate difficulty.
  • Q2. Simple Python-based question with optimisation.
  • Q3. Design specific questions based on Data pipelines.
Round 4 - Behavioral 

(3 Questions)

  • Q1. SQL-based question with moderate difficulty.
  • Q2. Python-based questions, follow questions with some optimisations.
  • Q3. Bash-script based round.

Skills evaluated in this interview

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

(3 Questions)

  • Q1. What is bigadata
  • Ans. 

    Big data refers to large and complex data sets that are difficult to process using traditional data processing applications.

    • Big data involves large volumes of data

    • It includes data from various sources such as social media, sensors, and business transactions

    • Big data requires specialized tools and technologies for processing and analysis

  • Answered by AI
  • Q2. How spark works
  • Ans. 

    Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.

    • Spark is a distributed computing framework that can process data in memory for faster processing.

    • It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.

    • Spark provides high-level APIs in Java, Scala, Python, and R for ease of use.

    • It supports various data sources li...

  • Answered by AI
  • Q3. Explain your application
  • Ans. 

    Our application is a data engineering platform that processes and analyzes large volumes of data to provide valuable insights.

    • Our application uses various data processing techniques such as ETL (Extract, Transform, Load) to clean and transform raw data into usable formats.

    • We utilize big data technologies like Hadoop, Spark, and Kafka to handle large datasets efficiently.

    • The application also includes machine learning al...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on basic. And have clear understanding of concepts , accept what you dont know and show attitude to learn and work on require skill
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 Dec 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. About the project and technical aspect
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Hackerearth problem on reversing the string & one more array question

Round 2 - Technical 

(2 Questions)

  • Q1. Reverse the string
  • Ans. 

    Reverse a given string

    • Use built-in functions like reverse() in Python

    • Iterate through the string in reverse order and append characters to a new string

    • Use stack data structure to reverse the string

  • Answered by AI
  • Q2. SQL based windowing function

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Hard
Process Duration
4-6 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. What are cyclic linked lists
  • Ans. 

    Cyclic linked lists are linked lists where the last node points back to the first node, creating a loop.

    • Cyclic linked lists have no NULL pointers, making it difficult to determine the end of the list.

    • They can be used to efficiently represent circular data structures like a round-robin scheduling algorithm.

    • Detecting cycles in a linked list can be done using Floyd's cycle-finding algorithm.

  • Answered by AI
  • Q2. Coding question from BST
Round 2 - Technical 

(2 Questions)

  • Q1. About data modelling and Architecture
  • Q2. Real world problem and solution
  • Ans. 

    Real world problem: Predicting customer churn in a subscription-based service

    • Collect and analyze customer data such as usage patterns, demographics, and interactions

    • Use machine learning algorithms to identify factors leading to churn

    • Implement targeted retention strategies based on the analysis

    • Monitor and evaluate the effectiveness of the strategies over time

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Sql technical round
  • Q2. About various azure services
Round 4 - Technical 

(2 Questions)

  • Q1. About my work area
  • Q2. Managerial and company fit

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn DSA and in depth knowledge of your work and field

Skills evaluated in this interview

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

(1 Question)

  • Q1. Explain surrogate key
  • Ans. 

    Surrogate key is a unique identifier used in databases to uniquely identify each record in a table.

    • Surrogate keys are typically generated by the system and have no business meaning.

    • They are used to simplify database operations and improve performance.

    • Example: Using an auto-incrementing integer column as a surrogate key in a table.

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed before Aug 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. About project what are optimization you have done
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Dec 2024.

Round 1 - Aptitude Test 

A standardized assessment that measures a person's skills, cognitive abilities, and potential to perform in a specific role.

Round 2 - Technical 

(4 Questions)

  • Q1. Technical interview questions at Automatic Data Processing (ADP) may cover topics such as programming, databases, and software development.
  • Q2. They may also ask about problem-solving and how you approach challenging tasks.
  • Q3. Emphasize a structured method that involves clearly defining the issue, gathering relevant information, brainstorming potential solutions, evaluating options carefully, implementing the chosen solution, an...
  • Q4. Data structures, algorithms, SQL querying, object-oriented programming principles, software development lifecycle, database concepts (relational vs. NoSQL), coding challenges in relevant languages (like Py...
Round 3 - HR 

(2 Questions)

  • Q1. May ask about your background, skills, and how you handle challenges
  • Q2. Background questions Tell me about yourself, What are your career goals, What are your strengths and weaknesses, What do you know about ADP, and Why do you want to work at ADP.

Interview Preparation Tips

Interview preparation tips for other job seekers - focus on tailoring your resume and cover letter to each role, thoroughly researching companies and potential interview questions, actively networking, attending career fairs, practicing your interview skills, following up after interviews, and maintaining a strong online presence on platforms like LinkedIn.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Angular structure
  • Q2. Dependency injection
Round 2 - Technical 

(2 Questions)

  • Q1. Manageral questions
  • Q2. Scenario based questions
Round 3 - HR 

(1 Question)

  • Q1. Package discussion

KPIT Technologies Interview FAQs

How many rounds are there in KPIT Technologies Data Engineer interview?
KPIT Technologies interview process usually has 2 rounds. The most common rounds in the KPIT Technologies interview process are Aptitude Test and Coding Test.
How to prepare for KPIT Technologies 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 KPIT Technologies. The most common topics and skills that interviewers at KPIT Technologies expect are Analytics, Automotive, Data Processing, Data Validation and GCP.

Tell us how to improve this page.

KPIT Technologies Data Engineer Interview Process

based on 1 interview

Interview experience

3
  
Average
View more
KPIT Technologies Data Engineer Salary
based on 53 salaries
₹2 L/yr - ₹7 L/yr
58% less than the average Data Engineer Salary in India
View more details

KPIT Technologies Data Engineer Reviews and Ratings

based on 7 reviews

3.9/5

Rating in categories

4.0

Skill development

3.9

Work-life balance

4.0

Salary

4.0

Job security

4.2

Company culture

3.9

Promotions

4.1

Work satisfaction

Explore 7 Reviews and Ratings
Senior Software Engineer
2.4k salaries
unlock blur

₹6.2 L/yr - ₹21 L/yr

Software Engineer
2.3k salaries
unlock blur

₹2 L/yr - ₹11.5 L/yr

Technical Lead
1.9k salaries
unlock blur

₹8.2 L/yr - ₹25 L/yr

Senior Technical Lead
793 salaries
unlock blur

₹10 L/yr - ₹36 L/yr

Software Developer
609 salaries
unlock blur

₹2.9 L/yr - ₹11 L/yr

Explore more salaries
Compare KPIT Technologies with

TCS

3.7
Compare

Infosys

3.6
Compare

Wipro

3.7
Compare

HCLTech

3.5
Compare
Did you find this page helpful?
Yes No
write
Share an Interview