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Dunnhumby Data Science Engineer Interview Questions, Process, and Tips

Updated 11 Jun 2024

Dunnhumby Data Science Engineer Interview Experiences

1 interview found

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

(2 Questions)

  • Q1. What is RDD and how its different from DF and Datasets
  • Ans. 

    RDD stands for Resilient Distributed Dataset and is the fundamental data structure of Apache Spark.

    • RDD is a distributed collection of objects that can be operated on in parallel.

    • DataFrames and Datasets are higher-level abstractions built on top of RDDs.

    • RDDs are more low-level and offer more control over data processing compared to DataFrames and Datasets.

  • Answered by AI
  • Q2. What is Partitioning and how to use colease and repartition
  • Ans. 

    Partitioning is the process of dividing data into smaller chunks for better organization and processing in distributed systems.

    • Partitioning helps in distributing data across multiple nodes for parallel processing.

    • Coalesce is used to reduce the number of partitions without shuffling data, while repartition is used to increase the number of partitions by shuffling data.

    • Example: coalesce(5) will merge partitions into 5 pa...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. What is Spark and explian its architecture
  • Ans. 

    Spark is a distributed computing framework that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

    • Spark has a master-slave architecture with a driver program that communicates with a cluster manager to distribute work across worker nodes.

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

    • Spark supports various programming l...

  • Answered by AI
  • Q2. What is DAG? how a spark job works how the dag gets created
  • Ans. 

    DAG stands for Directed Acyclic Graph. It is a finite directed graph with no cycles.

    • DAG is a collection of nodes connected by edges where each edge goes from one node to another, but no cycles are allowed.

    • In the context of Spark, a DAG represents the sequence of transformations that need to be applied to the input data to get the final output.

    • When a Spark job is submitted, Spark creates a DAG of the transformations spe...

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Basic js concepts

Interview Preparation Tips

Interview preparation tips for other job seekers - Good
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Basic QA related Questions
Interview experience
4
Good
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 Resume tips
Round 2 - Coding Test 

Coding testing with 15 questions MCQ based

Round 3 - Technical 

(1 Question)

  • Q1. 1 or 2 DSA questions, rest tech stack related questions were asked
Round 4 - One-on-one 

(1 Question)

  • Q1. This was a technofunctional round, kind of a managerial round.
Round 5 - HR 

(1 Question)

  • Q1. This was a HR round
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Reg BW and ABAP and XSA
Round 3 - Technical 

(1 Question)

  • Q1. Reg sap BW and ABAP and XSA
Round 4 - HR 

(1 Question)

  • Q1. Company structure

I was interviewed before Dec 2020.

Round 1 - Coding Test 

(1 Question)

Round duration - 120 minutes
Round difficulty - Easy

After round 1 there was a break of 15 mins and the coding round started.
We had a choice to attempt the exam in R language & SQL or python & sql
I chose python and sql
It had 8 questions 4 python and 4 sql

  • Q1. 

    Longest Common Subsequence Problem Statement

    Given two strings, S and T with respective lengths M and N, your task is to determine the length of their longest common subsequence.

    A subsequence is a seque...

  • Ans. 

    The task is to find the length of the longest common subsequence between two given strings.

    • Use dynamic programming to solve this problem efficiently.

    • Create a 2D array to store the lengths of longest common subsequences of substrings.

    • Iterate through the strings to fill the array and find the length of the longest common subsequence.

    • Example: For strings 'abcde' and 'ace', the longest common subsequence is 'ace' with leng

  • Answered by AI
Round 2 - Video Call 

Round duration - 15 minutes
Round difficulty - Medium

The interview was mostly analytical based and how you approach the round a few technical questions in dbms and oops were also asked.

Round 3 - Video Call 

(1 Question)

Round duration - 20 Minutes
Round difficulty - Medium

Similar to first round
For Shortlists after elimination from first round.

  • Q1. 

    Car Pooling Capacity Problem

    You are a cab driver with a car that initially has 'C' empty seats. The car moves in a straight line towards the forward direction only. Your job is to determine if it is poss...

  • Ans. 

    Determine if it is possible to accommodate all passenger trips within a car's capacity without exceeding it at any point.

    • Iterate through each trip and keep track of the total number of passengers in the car at each point.

    • Check if the total number of passengers exceeds the car capacity at any point.

    • Return 'True' if all trips can be accommodated within the car capacity, otherwise return 'False'.

  • Answered by AI
Round 4 - Video Call 

(1 Question)

Round duration - 20 minutes
Round difficulty - Easy

After two technical round interviews, the last round was a hr interview. The whole process can take up one whole day or more and your interview can be at any time
My process started at 5 pm and ended at 10:30 pm
All the interviewers were very friendly no pressure.

  • Q1. 

    Nth Fibonacci Number Problem Statement

    Calculate the Nth term in the Fibonacci sequence, where the sequence is defined as follows: F(n) = F(n-1) + F(n-2), with initial conditions F(1) = F(2) = 1.

    Input:

    ...
  • Ans. 

    Calculate the Nth Fibonacci number efficiently using dynamic programming.

    • Use dynamic programming to store previously calculated Fibonacci numbers to avoid redundant calculations.

    • Start with base cases F(1) and F(2) as 1, then iterate to calculate subsequent Fibonacci numbers.

    • Time complexity can be optimized to O(N) using dynamic programming.

    • Example: For N = 5, the 5th Fibonacci number is 5.

  • Answered by AI

Interview Preparation Tips

Eligibility criteriaCgpa was initially 6 and above but was later on cut to 7 and above due to high no of applicationsFractal Analytics interview preparation:Topics to prepare for the interview - Machine learning, dbms, sql, oops, python,Time required to prepare for the interview - 2 monthsInterview preparation tips for other job seekers

Tip 1 : Be fast ans accurate on your aptitude amd verbal tests. 
Tip 2 : In coding round, depending on the difficulty of the questions the time in which you complete solving them should decrease .If almost everyone can solve them timming comes in to the equation for shortlisting
Tip 3 : While submitting your resume, please be honest about the projects you have done and do not bluff about it because in the interview when you ate drilled abt it, they can catch you easily.
Tip 4 : be confident and answer every question to the best of your ability and if u don't know something, tell them you don't know abt it .

Application resume tips for other job seekers

Tip 1 : Research the company and put the most revalent projects and skills that the company os looking for specifically
Tip 2 : Do not bluff or lie on your resume. It show's during the interview.

Final outcome of the interviewSelected

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Sep 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. All questions are mainly related to sql,spark, understanding of data structures ,performance tuning,scenario based questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Nice interview and interview panel as well

I applied via Referral and was interviewed in Dec 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Spark, Hive, AWS, SQL

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare all basics for big data related to spark, SQL, DBMS
Prepare your project well

I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Basic concept of JS

Interview Preparation Tips

Interview preparation tips for other job seekers - Good

I applied via LinkedIn and was interviewed in Sep 2021. There were 4 interview rounds.

Round 1 - Coding Test 

There were 4 sections-
1.Big data-some multiple choice questions
2.Python-2 basic programming questions
3.SQL-4 case questions on SQL queries
4.Pyspark-Basic multiple choice questions

Round 2 - Coding Test 

Same as round 1 but there were no multiple choice questions,it was a subjective paper where they check your thought process and your approach.

Round 3 - Technical 

(1 Question)

  • Q1. Technical interview was based on -Your project discussion -Big data terminologies,Spark framework,working and architecture -Some case study questions and how you could have optimized it. -SQL basic querie...
Round 4 - HR 

(4 Questions)

  • Q1. Share details of your previous job.
  • Q2. Why are you looking for a change?
  • Q3. What are your salary expectations?
  • Q4. Tell me about yourself.

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Software Engineer interview:
  • Pyspark
  • Spark
  • Azure data factory
  • SQL
  • Python
  • Big data
Interview preparation tips for other job seekers - Just focus on spark,big data terminologies and architecture,spark architecture,SQL queries,Python basics,Azure data factory terminologies
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Dunnhumby Interview FAQs

How many rounds are there in Dunnhumby Data Science Engineer interview?
Dunnhumby interview process usually has 2 rounds. The most common rounds in the Dunnhumby interview process are Technical.
How to prepare for Dunnhumby Data Science 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 Dunnhumby. The most common topics and skills that interviewers at Dunnhumby expect are Python, Agile Coaching, Algorithms, Azure and Backend.
What are the top questions asked in Dunnhumby Data Science Engineer interview?

Some of the top questions asked at the Dunnhumby Data Science Engineer interview -

  1. What is DAG? how a spark job works how the dag gets crea...read more
  2. What is RDD and how its different from DF and Datas...read more
  3. what is Partitioning and how to use colease and repartit...read more

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Dunnhumby Data Science Engineer Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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Dunnhumby Data Science Engineer Salary
based on 6 salaries
₹12 L/yr - ₹19 L/yr
49% more than the average Data Science Engineer Salary in India
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based on 1 review

3.0/5

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3.0

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4.0

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3.0

Salary

4.0

Job security

4.0

Company culture

3.0

Promotions

3.0

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