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IPG Mediabrands Data Engineer Interview Questions and Answers

Updated 8 Dec 2024

IPG Mediabrands Data Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Dec 2023. There were 2 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. About myself & my work experience
Round 2 - Technical 

(1 Question)

  • Q1. SQL & Python related Qs

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL Window Functions and RANK, DENSE RANK Difference
  • Ans. 

    SQL Window Functions like RANK and DENSE RANK are used to assign a rank to rows within a partition.

    • RANK function assigns a unique rank to each distinct row within a partition.

    • DENSE RANK function assigns a unique rank to each distinct row within a partition, but without any gaps.

    • Both functions are used with the OVER() clause in SQL to define the partition and order of rows.

  • Answered by AI
  • Q2. Hadoop Default Replication Factor

Interview Preparation Tips

Topics to prepare for Vertoz Data Engineer interview:
  • SQL
  • Spark
  • Hadoop
  • YARN
Interview preparation tips for other job seekers - Easy questions asked related to SQL Window Functions, Spark Repartition and Coalesce, Spark Architecture, YARN, Hadoop Replication Factor, Spark Write Modes and many such easy questions.

Salary offered is below industry standard.
Overall not a good experience.

Skills evaluated in this interview

I applied via Referral and was interviewed in Nov 2021. There was 1 interview round.

Interview Questionnaire 

4 Questions

  • Q1. Difference between coalesce and repartition
  • Ans. 

    Coalesce is used to select the first non-null value from a set of columns. Repartition is used to shuffle data across nodes.

    • Coalesce reduces the number of partitions to the minimum required.

    • Repartition increases or decreases the number of partitions.

    • Coalesce is a narrow transformation while repartition is a wide transformation.

    • Coalesce is used to optimize data for queries while repartition is used to balance data acros...

  • Answered by AI
  • Q2. How to optimise joins
  • Ans. 

    Optimizing joins involves selecting appropriate join types, indexing tables, and minimizing data movement.

    • Choose the appropriate join type based on the size and structure of the tables being joined

    • Index the tables on the join columns to speed up the join process

    • Minimize data movement by selecting only the necessary columns and filtering rows before joining

    • Consider using denormalization or materialized views to precompu

  • Answered by AI
  • Q3. Spark optimizations
  • Q4. Difference between RDD dataset and dataframe
  • Ans. 

    RDD is a low-level distributed data structure while DataFrame is a high-level structured data abstraction.

    • RDD is immutable and unstructured while DataFrame is structured and has a schema

    • DataFrames are optimized for SQL queries and can be cached in memory

    • RDDs are more flexible and can be used for complex data processing tasks

    • DataFrames are easier to use and provide a more concise syntax for data manipulation

    • RDDs are the...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The major focus was on Apache Spark.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
-
Result
No response

I applied via LinkedIn and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What are synthetic Events?
  • Ans. 

    Synthetic Events are events that are created by the browser to mimic real user events.

    • Synthetic Events are used in React to handle events in a consistent manner across different browsers.

    • They are created by React to wrap native browser events and provide additional functionality.

    • Examples include onClick, onChange, and onSubmit events in React.

  • Answered by AI
  • Q2. What is event bubbling?
  • Ans. 

    Event bubbling is the process where an event triggered on a child element is propagated up through its parent elements.

    • Event bubbling allows a single event handler to be attached to a parent element, which will be triggered for all its children.

    • When an event occurs on a child element, it first runs the event handlers on the child, then on its parent, and so on up the DOM tree.

    • Event bubbling can be stopped using event.s

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is invoke controller?
  • Ans. 

    Invoke controller is a component in a software application that manages the flow of requests and responses between the user interface and the backend services.

    • Manages the communication between user interface and backend services

    • Handles the routing of requests to appropriate functions or methods

    • Coordinates the flow of data and actions within the application

  • Answered by AI
  • Q2. What is facade in laravel?
  • Ans. 

    Facade in Laravel is a design pattern that provides a simple interface to a complex subsystem.

    • Facade provides a static interface to classes that are available in the application's service container.

    • It is used to simplify the usage of complex classes by providing a simpler interface.

    • Facade allows you to access Laravel's features without needing to instantiate objects or use dependency injection.

    • Example: The Auth facade ...

  • Answered by AI

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between union and union all in SQL?
  • Ans. 

    Union combines and removes duplicates, Union All combines without removing duplicates.

    • Union combines result sets and removes duplicates

    • Union All combines result sets without removing duplicates

    • Union is slower than Union All as it involves removing duplicates

    • Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;

    • Example: SELECT column1 FROM table1 UNION ALL SELECT column1 FROM table2;

  • Answered by AI
  • Q2. How to show top 5 in pandas?
  • Ans. 

    To show top 5 in pandas, use the nlargest() function.

    • Use the nlargest() function with the 'n' parameter set to 5 to get the top 5 values in a pandas DataFrame.

    • For example: df['column_name'].nlargest(5) will return the top 5 values in the specified column.

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. If we have 3 numerical columns, which chart is a better representation these column?
  • Ans. 

    A scatter plot is a better representation for 3 numerical columns.

    • Use a scatter plot to show the relationship between the numerical columns.

    • Scatter plots are effective for visualizing correlations and patterns in data.

    • Each point on the plot represents a data point with values from all 3 columns.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Omnicom Media Group Data Analyst interview:
  • SQL Server
  • Pandas
  • Power Bi

Skills evaluated in this interview

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 - Coding Test 

Easy leetcode data structure question

Round 3 - Technical 

(1 Question)

  • Q1. Write working code for calling a rest API, design rate limiter
  • Ans. 

    Code for calling a REST API and designing a rate limiter

    • Use a library like requests or axios to make the API call

    • Implement a token bucket algorithm for rate limiting

    • Set a maximum number of requests per second and queue excess requests

    • Consider using a distributed rate limiter for scalability

  • Answered by AI
Round 4 - Technical 

(1 Question)

  • Q1. Design Database schema for instagram
  • Ans. 

    Design a database schema for Instagram.

    • Create tables for users, posts, comments, likes, and follows.

    • Use primary and foreign keys to establish relationships between tables.

    • Store user data such as username, email, and password securely.

    • Include fields for post content, location, and timestamp.

    • Track likes and comments on posts.

    • Implement a notification system for follows and likes.

    • Consider scalability and performance in the...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - All round was smooth and interviewer were friendly.

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Aug 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Questions on Projects.

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewers are very friendly.
Brush up technical concepts and coding
Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL Window Functions and RANK, DENSE RANK Difference
  • Ans. 

    SQL Window Functions like RANK and DENSE RANK are used to assign a rank to rows within a partition.

    • RANK function assigns a unique rank to each distinct row within a partition.

    • DENSE RANK function assigns a unique rank to each distinct row within a partition, but without any gaps.

    • Both functions are used with the OVER() clause in SQL to define the partition and order of rows.

  • Answered by AI
  • Q2. Hadoop Default Replication Factor

Interview Preparation Tips

Topics to prepare for Vertoz Data Engineer interview:
  • SQL
  • Spark
  • Hadoop
  • YARN
Interview preparation tips for other job seekers - Easy questions asked related to SQL Window Functions, Spark Repartition and Coalesce, Spark Architecture, YARN, Hadoop Replication Factor, Spark Write Modes and many such easy questions.

Salary offered is below industry standard.
Overall not a good experience.

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed before Oct 2022. There were 4 interview rounds.

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 - Coding Test 

Basic dsa question in python and data engineering questions ,sql

Round 3 - Coding Test 

Basic dsa question in python and data engineering questions

Round 4 - HR 

(1 Question)

  • Q1. Salary negotiation

IPG Mediabrands Interview FAQs

How many rounds are there in IPG Mediabrands Data Engineer interview?
IPG Mediabrands interview process usually has 2 rounds. The most common rounds in the IPG Mediabrands interview process are HR and Technical.
How to prepare for IPG Mediabrands 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 IPG Mediabrands. The most common topics and skills that interviewers at IPG Mediabrands expect are AWS, Analysis, NoSQL, Python and SCALA.

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IPG Mediabrands Data Engineer Interview Process

based on 1 interview

Interview experience

3
  
Average
View more

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IPG Mediabrands Data Engineer Salary
based on 4 salaries
₹9 L/yr - ₹10 L/yr
8% less than the average Data Engineer Salary in India
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