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Adobe Data Engineer Interview Questions and Answers

Updated 26 Nov 2024

Adobe Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 26 Nov 2024

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 questions from similar companies

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
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What is the architecture of Spark?
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
1
Bad
Difficulty level
-
Process Duration
-
Result
-
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 - Technical 

(2 Questions)

  • Q1. How to read files in pandas?
  • Ans. 

    Pandas can read various file formats including CSV, Excel, JSON, HTML, and SQL.

    • Use pandas.read_csv() to read CSV files

    • Use pandas.read_excel() to read Excel files

    • Use pandas.read_json() to read JSON files

    • Use pandas.read_html() to read HTML tables

    • Use pandas.read_sql() to read SQL tables

    • Specify the file path or URL as the argument

    • Additional parameters can be used to customize the reading process

  • Answered by AI
  • Q2. How to use lambda function
  • Ans. 

    Lambda functions are anonymous functions that can be used to perform a single task or operation.

    • Lambda functions are defined using the lambda keyword.

    • They can take any number of arguments but can only have one expression.

    • Lambda functions are often used as arguments for higher-order functions.

    • Example: lambda x: x**2 defines a lambda function that squares its input.

    • Example: sorted(my_list, key=lambda x: x[1]) sorts a lis...

  • Answered by AI

Skills evaluated in this interview

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

Factorial coding questions and SQL coding questions using group by

Round 2 - Technical 

(2 Questions)

  • Q1. Java questions on oops concepts
  • Q2. SQL questions on having clause
Round 3 - HR 

(2 Questions)

  • Q1. Can you relocate
  • Q2. Brief info about amdocs
  • Ans. 

    Amdocs is a software and services provider for communications, media, and entertainment industries.

    • Founded in 1982 in Israel

    • Headquartered in Chesterfield, Missouri

    • Provides customer experience solutions for telecom companies

    • Offers services such as billing, CRM, and data analytics

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Stick to your resume and final year project
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Coding Test 

Coding round of 2 questions of medium level

Adobe Interview FAQs

How many rounds are there in Adobe Data Engineer interview?
Adobe interview process usually has 4 rounds. The most common rounds in the Adobe interview process are One-on-one Round, Coding Test and Behavioral.
How to prepare for Adobe 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 Adobe. The most common topics and skills that interviewers at Adobe expect are Python, SQL, AWS, Adobe and SAP Business Intelligence.
What are the top questions asked in Adobe Data Engineer interview?

Some of the top questions asked at the Adobe Data Engineer interview -

  1. Data pipeline design and best practic...read more
  2. SQL questions with operations that include changing from string to array. Tip: ...read more
  3. Simple Python questions with a follow-up to optimise...read more

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Adobe Data Engineer Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
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Adobe Data Engineer Salary
based on 44 salaries
₹10.9 L/yr - ₹40 L/yr
124% more than the average Data Engineer Salary in India
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based on 2 reviews

5.0/5

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