Upload Button Icon Add office photos
Engaged Employer

i

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

Cognizant Verified Tick

Compare button icon Compare button icon Compare
3.8

based on 47.2k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

zig zag pattern zig zag pattern

Filter interviews by

Cognizant Big Data Engineer Interview Questions, Process, and Tips for Experienced

Updated 12 Oct 2023

Cognizant Big Data Engineer Interview Experiences for Experienced

1 interview found

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

I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.

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 - One-on-one 

(5 Questions)

  • Q1. What is speculative execution in Hadoop?
  • Ans. 

    Speculative execution in Hadoop is a feature that allows the framework to launch duplicate tasks for a job, with the goal of completing the job faster.

    • Speculative execution is used when a task is taking longer to complete than expected.

    • Hadoop identifies slow-running tasks and launches duplicate tasks on other nodes.

    • The first task to complete is used, while the others are killed to avoid duplication of results.

    • This help...

  • Answered by AI
  • Q2. Spark Architecture
  • Q3. Difference in list , tuple,sets
  • Ans. 

    Lists are mutable ordered collections, tuples are immutable ordered collections, and sets are mutable unordered collections.

    • Lists are mutable and ordered, allowing for duplicate elements. Example: [1, 2, 3, 3]

    • Tuples are immutable and ordered, allowing for duplicate elements. Example: (1, 2, 3, 3)

    • Sets are mutable and unordered, not allowing for duplicate elements. Example: {1, 2, 3}

  • Answered by AI
  • Q4. Difference in rank, dense rank in sql
  • Ans. 

    Rank assigns a unique rank to each distinct row, while dense rank assigns consecutive ranks to rows with the same values.

    • Rank function assigns unique ranks to each distinct row in the result set

    • Dense rank function assigns consecutive ranks to rows with the same values

    • Rank function leaves gaps in the ranking sequence if there are ties, while dense rank does not

  • Answered by AI
  • Q5. Add data into a partitioned hive table
  • Ans. 

    To add data into a partitioned hive table, you can use the INSERT INTO statement with the PARTITION clause.

    • Use INSERT INTO statement to add data into the table.

    • Specify the partition column values using the PARTITION clause.

    • Example: INSERT INTO table_name PARTITION (partition_column=value) VALUES (data);

  • Answered by AI
Round 3 - Coding Test 

WAP to add index wise elements of a list . A=[1,2,3] , B=[4,5,7] C should be [5,7,10]

Interview Preparation Tips

Topics to prepare for Cognizant Big Data Engineer interview:
  • Spark Architecture
  • Sql window functions
  • Python data structures
  • Spark and hive optimisation
  • Pyspark dataframe operations
Interview preparation tips for other job seekers - Understanding of spark Architecture is must . Even if you get stuck or don't understand the question you can confirm with them if your understanding is correct

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Nov 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Overall exp was good
Round 2 - One-on-one 

(1 Question)

  • Q1. Overall exp was good
Round 3 - HR 

(1 Question)

  • Q1. Salary discussion

Big Data Engineer Interview Questions & Answers

Capgemini user image Manshi Raghuvanshi

posted on 26 Jun 2024

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

(1 Question)

  • Q1. Coalesce vs repartition
  • Ans. 

    Coalesce is used to reduce the number of partitions in a DataFrame, while repartition is used to increase the number of partitions.

    • Coalesce is a narrow transformation that can only decrease the number of partitions without shuffling data.

    • Repartition is a wide transformation that can both increase or decrease the number of partitions and involves shuffling data across the cluster.

    • Coalesce is more efficient for reducing ...

  • Answered by AI
Round 2 - Coding Test 

Rank vs dense rank quetions ctes

Round 3 - Coding Test 

Python data structure

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

I applied via Approached by Company and was interviewed before Oct 2022. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Scala , Hadoop Spark, SQL, sqoop
  • Q2. Scala Hadoop Spark SQL sqoop
Round 2 - Technical 

(1 Question)

  • Q1. Scala Hadoop Spark SQL sqoop

Interview Preparation Tips

Interview preparation tips for other job seekers - Client

I applied via Naukri.com and was interviewed in Jan 2021. There were 5 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Mostly on Hive, scala questions for first round which is of 43 theory questions and one coding question was asked for
  • Q2. 2nd and 3rd round would be on F2F online technical round where it was completely conversing about your project and the stuffs you had used while working. It would basically purely on your work experience s...

Interview Preparation Tips

Interview preparation tips for other job seekers - Do not panic, answer as much as u can never leave anything unattended, never lose hope, never have over confidence, ease yourself while attending and I say you definitely crack it if you have hands on experience
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Tell. me about youself
  • Q2. Sql question , pyspark questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

1. Questions on spark basica
2. Sql coding questions
3. Java or scala basics

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

I applied via Naukri.com and was interviewed in Aug 2023. There were 4 interview rounds.

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 - Case Study 

I will do tha study for all company cases

Round 3 - Aptitude Test 

I will give aptitude test

Round 4 - Technical 

(7 Questions)

  • Q1. I will try to solved all technical issue
  • Q2. Asked tha questions to releted data entry operator
  • Q3. I take my work time
  • Q4. Slove tha query who give me dara
  • Q5. Give any response to short time
  • Ans. 

    Respond promptly with concise information

    • Provide relevant details quickly

    • Avoid unnecessary elaboration

    • Be clear and concise in communication

  • Answered by AI
  • Q6. Asked how to do group discussion.
  • Q7. How can slove tha all data questions

Interview Preparation Tips

Interview preparation tips for other job seekers - I like this interview because tha all questions he asked and all technical issue all to solve with this question
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
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 - HR 

(2 Questions)

  • Q1. Self introduced and my skills knowledge
  • Q2. My name name is Aasif and I have done my graduation b.com. I have good knowledge English and Hindi in oral and writing. I have done excel, ms word, PowerPoint Data entry.
Round 3 - One-on-one 

(3 Questions)

  • Q1. Study and skills
  • Q2. Like my work speciality’s
  • Q3. Study speciality’s

Interview Preparation Tips

Interview preparation tips for other job seekers - I am very hardworking give me one chance
Thanks
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Data Sceince related questions

Cognizant Interview FAQs

How many rounds are there in Cognizant Big Data Engineer interview for experienced candidates?
Cognizant interview process for experienced candidates usually has 3 rounds. The most common rounds in the Cognizant interview process for experienced candidates are One-on-one Round, Coding Test and Resume Shortlist.
How to prepare for Cognizant Big Data Engineer interview for experienced candidates?
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 Cognizant. The most common topics and skills that interviewers at Cognizant expect are Big Data, Spark, Hadoop, Hdfs and Hive.
What are the top questions asked in Cognizant Big Data Engineer interview for experienced candidates?

Some of the top questions asked at the Cognizant Big Data Engineer interview for experienced candidates -

  1. What is speculative execution in Hado...read more
  2. Difference in rank, dense rank in ...read more
  3. Add data into a partitioned hive ta...read more

Tell us how to improve this page.

People are getting interviews through

based on 1 Cognizant interview
Job Portal
100%
Low Confidence
?
Low Confidence means the data is based on a small number of responses received from the candidates.
Cognizant Big Data Engineer Salary
based on 204 salaries
₹3.8 L/yr - ₹15.4 L/yr
18% less than the average Big Data Engineer Salary in India
View more details

Cognizant Big Data Engineer Reviews and Ratings

based on 14 reviews

4.3/5

Rating in categories

4.1

Skill development

4.3

Work-Life balance

3.7

Salary & Benefits

3.9

Job Security

3.9

Company culture

3.9

Promotions/Appraisal

4.0

Work Satisfaction

Explore 14 Reviews and Ratings
Associate
72.8k salaries
unlock blur

₹5.1 L/yr - ₹16 L/yr

Programmer Analyst
54.1k salaries
unlock blur

₹2.4 L/yr - ₹9.7 L/yr

Senior Associate
48.2k salaries
unlock blur

₹8.9 L/yr - ₹27 L/yr

Senior Processing Executive
28.4k salaries
unlock blur

₹1.8 L/yr - ₹9 L/yr

Technical Lead
17.5k salaries
unlock blur

₹5.9 L/yr - ₹24 L/yr

Explore more salaries
Compare Cognizant with

TCS

3.7
Compare

Infosys

3.7
Compare

Wipro

3.7
Compare

Accenture

3.9
Compare

Calculate your in-hand salary

Confused about how your in-hand salary is calculated? Enter your annual salary (CTC) and get your in-hand salary
Did you find this page helpful?
Yes No
write
Share an Interview