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Integral Ad Science Data Engineer Interview Questions and Answers

Updated 31 Oct 2023

Integral Ad Science Data Engineer Interview Experiences

2 interviews found

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

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 31 Oct 2023

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:
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 

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

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Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. SQL and tableau
Round 2 - Coding Test 

Online test on sql join sub query

Round 3 - One-on-one 

(1 Question)

  • Q1. Final tech round

Interview Preparation Tips

Interview preparation tips for other job seekers - Good over all
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Data entry operator 

(2 Questions)

  • Q1. What is the importance of Microsoft Word, Microsoft Office, and Microsoft PowerPoint in your work?
  • Q2. You know about the computer knowledge and typing also very important okay and also good environment and good positive and responsible and from more more and more etc and make them very important knowledg...

Interview Preparation Tips

Interview preparation tips for other job seekers - Your communication skills are impressive, and you demonstrate strong work ethic and time management abilities. Additionally, you create a positive environment, so if anyone has questions, please feel free to ask without hesitation and engage in conversations with everyone.
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 Jun 2024. There was 1 interview round.

Round 1 - Technical 

(5 Questions)

  • Q1. Pivot columns in sql
  • Ans. 

    Pivoting columns in SQL involves transforming rows into columns to display data in a different format.

    • Use the PIVOT keyword in SQL to pivot columns

    • Specify the columns to pivot on and the values to display in the new columns

    • Aggregate functions like SUM, AVG, COUNT can be used with PIVOT

    • Example: SELECT * FROM table_name PIVOT (SUM(value_column) FOR pivot_column IN ('value1', 'value2', 'value3'))

  • Answered by AI
  • Q2. Slow changing dimensions
  • Q3. Dynamic rankx top 3
  • Q4. Field parameters
  • Q5. Stored procedures

Interview Preparation Tips

Interview preparation tips for other job seekers - They don't have proper interviewer they were rude and show bad attitude to the candidates.

Better avoid this company

Skills evaluated in this interview

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

I applied via Approached by Company and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Dot net related stuffs
  • Q2. Dependency injection
Round 2 - Coding Test 

Built an app using dot net and angular

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

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. It was good and easy
Round 2 - HR 

(1 Question)

  • Q1. Its all about package discussion
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Nov 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

In this round, there is aptitude & 2 coding questions.

Round 2 - Technical 

(2 Questions)

  • Q1. Java oops concept
  • Q2. Again Live coding test
Round 3 - HR 

(1 Question)

  • Q1. Discussion about salary and company

Interview Preparation Tips

Topics to prepare for Kantar Analytics Practice Software Engineer interview:
  • Core Java
  • Advanced Java
  • Springboot

I applied via Naukri.com and was interviewed in Oct 2022. 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 - Aptitude Test 

Mathematics, English and Reasoning..

Round 3 - Technical 

(2 Questions)

  • Q1. What is python? What is uses of python?
  • Ans. 

    Python is a high-level, interpreted programming language used for web development, data analysis, artificial intelligence, and more.

    • Python is easy to learn and has a simple syntax.

    • It is used for web development with frameworks like Django and Flask.

    • Python is popular for data analysis and visualization with libraries like Pandas and Matplotlib.

    • It is used for artificial intelligence and machine learning with libraries li...

  • Answered by AI
  • Q2. Some coding based questions of python.
Round 4 - HR 

(3 Questions)

  • Q1. Salary and work discussionion
  • Q2. Short and long term goals.
  • Q3. Work Role, post and company work.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be careful during interview and hear all the instruction carefully.

Skills evaluated in this interview

Integral Ad Science Interview FAQs

How many rounds are there in Integral Ad Science Data Engineer interview?
Integral Ad Science interview process usually has 4 rounds. The most common rounds in the Integral Ad Science interview process are Coding Test, Resume Shortlist and HR.
How to prepare for Integral Ad Science 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 Integral Ad Science. The most common topics and skills that interviewers at Integral Ad Science expect are IAS, Linux, SQL, Vista and Advertising.
What are the top questions asked in Integral Ad Science Data Engineer interview?

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

  1. difference between RDD dataset and datafr...read more
  2. Difference between coalesce and repartit...read more
  3. how to optimise jo...read more

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Integral Ad Science Data Engineer Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more

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Integral Ad Science Data Engineer Salary
based on 7 salaries
₹9.6 L/yr - ₹22 L/yr
47% more than the average Data Engineer Salary in India
View more details

Integral Ad Science Data Engineer Reviews and Ratings

based on 3 reviews

1.0/5

Rating in categories

1.5

Skill development

1.5

Work-life balance

2.5

Salary

2.5

Job security

1.0

Company culture

2.0

Promotions

1.0

Work satisfaction

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