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Databricks Interview Questions

by Interview Kickstart Team in Interview Questions
November 2, 2023
You can download a PDF version of  
Databricks Interview Questions
Download PDF

Databricks Interview Questions

About The Author!
Ashwin Ramachandran
Ashwin Ramachandran
Head of engineering at Interview Kickstart. Playing in the field of technology with the tools of Java for more than a decade. A mind full of innovative ideas and curiosity for exploring data.

Databricks provides a cloud-based unified platform to simplify data management systems and ensure faster services with real-time tracking. In 2023, it ranked number 2 on Forbes Cloud 100 list. At the moment, it serves more than 9,000 organizations, including 40% of the Fortune 500 companies. The platform comprises collaborative data science, massive data engineering, an entire lifecycle of machine learning, AI, and other business analytics.

The responsibility of a Databricks software engineer in any company, including Databricks, is to design a highly performant data ingestion pipeline using Apache Spark. Therefore, the Databricks interview questions are structured specifically to analyze a software developer's technical skills and personal traits. The interview is undoubtedly hard to crack. However, the Q&A series provided here with systematic guidance will certainly help with your preparation.

If you are preparing for a tech interview, check out our technical interview checklist, interview questions page, and salary negotiation e-book to get interview-ready!

Having trained over 13,500 software engineers, we know what it takes to crack the toughest tech interviews. Since 2014, Interview Kickstart alums have been landing lucrative offers from FAANG and Tier-1 tech companies, with an average salary hike of 49%. The highest ever offer received by an IK alum is a whopping $933,000!

At IK, you get the unique opportunity to learn from expert instructors who are hiring managers and tech leads at Google, Facebook, Apple, and other top Silicon Valley tech companies.

Want to nail your next tech interview? Sign up for our FREE Webinar.

This article will guide you through some of the common questions asked during interviews at Databricks. Here’s what we’ll discuss:

  • What Are the Different Positions Offered to a Software Engineer at Databricks?
  • The Interview Process at Databricks
  • How to Prepare for Technical Interview Questions at Databricks
  • What Are the Most Common Databricks Interview Questions?
  • Unique Interview Questions Asked at Databricks
  • FAQs on Databricks

What Are the Different Positions Offered to a Software Engineer at Databricks?

Databricks has offices across the world, with headquarters in San Francisco. Therefore, it has multiple vacancies in the domain of software engineering, such as:

  • Customer Data Engineer
  • Solution Consultant
  • Backline Technical Solutions Engineer
  • Cloud Solution Engineer
  • Technical Solution Analyst
  • Engineer Manager/Distributed Data System
  • Front-End Engineer
  • Back-End Engineer
  • Product Security Engineer
  • Senior Engineer – Database Engine Internals
  • Senior Engineer – Distributed Data System
  • Full-stack Engineer
  • Technical Program Manager – Cloud Program

The Interview Process at Databricks

To apply for a software engineer role at Databricks, check the careers page of Databricks, LinkedIn, or Glassdoor. You can also apply via employee referral. When uploading your resume, ensure that you highlight all of the relevant experience that the role requires.

The interview mainly consists of a phone screen and an on-site interview.

Rounds of interviews for Databricks

Phone screen: If your application matches, the recruiter will reach out to you and conduct a basic screening of personal traits and technical skills.

The on-site interview comprises the following rounds:

  • Behavioral round
  • Code challenge assignment
  • Technical round
  • Personal attributes check

If you successfully clear all interview rounds, the recruitment team will take you through joining formalities.

How to Prepare for Technical Interview Questions at Databricks

The technical interview questions at Databricks focus on two verticals:

  • Technical algorithms related to the data structure, memory utilization, and interface in the language of computer science.
  • Coding assessment with a focus on problem-solving skills.

Besides giving the right answer, you also have to focus on the question from the perspective of solving a problem in a realistic environment.

To prepare for interview questions at Databricks for technical algorithms, focus on:

  • Design
  • Code structure
  • Debugging

There will be questions on the framework on which you do not have experience. However, these are to analyze your ability to read documents and solve complex problems from practical experience.

Topics for coding assessment at Databricks are as follows:

  • Web communication – Http, authentication, WebSockets.
  • Browser fundamentals – Js event handling and caching.
  • API + data handling.
  • Data modeling.

Coding-Related Databricks Interview Question Topics

Here are some topics and concepts that you should definitely cover when preparing for your Databricks coding interview.

  • Climbing word ladder
  • String breakdown
  • Loop in a linked list
  • Substring in string
  • Invert binary tree
  • Targets and vicinities
  • FizzBuzz
  • Cloud computation
  • Github

What Are the Most Common Databricks Interview Questions?

Here are some samples of Databricks’ interview questions and answers that will help to amp up your preparations.

1. Do Compressed Data Sources Like .csv.gz Get Distributed in Apache Spark?

When we read a compressed data source arranged in serial, it is called Single-Threaded. When such data is read off disk, it remains in memory as a distributed dataset. Therefore, only the initial read is not distributed. Compressed files are difficult to break; however, readable/chunkable files get distributed in multiple extents in an Azure data lake or Hadoop file system. Chunking up a lot of files in compressed form creates a thread per file depending on the number of files.

2. Should You Clean Up DataFrames, Which Are Not in Use for a Long Time?

DataFrames should not be deleted unless you use the cache since cache chunks up memory.

3. Do You Select All Columns of a CSV File When Using Schema With Spark .read?

CSV cannot identify a vertical slice of data. Therefore, it has to read the full file. For columnar files like Parquet, you may avoid reading each column.

4. Can You Use Spark for Streaming Data?

Spark supports multiple streaming processes at a time. You can both read and write streaming data or stream multiple deltas. It is a part of core Spark.

5. Does Text Processing Support All Languages? How Are Multiple Languages Implicated?

Supporting multiple languages is dependent on the package. For example, if you are using Python with NTLK and Spacey, it can support multiple languages. On the other hand, if you are using Spark with MLLIB or John Snow Labs with NLP library, it can support all languages.

Unique Interview Questions Asked at Databricks

Mentioned below are some unique interview questions asked at Databricks:

  1. What are the differences between Azure Databricks and Databricks?
  2. What is caching and its different types?
  3. Which ETL operations are done on Azure Databricks?
  4. What is the SQL version used in Databricks?
  5. What is Kafka and its uses?

FAQs on Databricks

Q. Is Databricks associated with Microsoft?
Azure Databricks is a Microsoft Service, which is the result of the association of both companies. The end product is Apache Spark-based analytics.

Q. Does Databricks certification help to crack the interview?
Yes, candidates with Databricks certification have a higher chance of acing their interview.

Q. Why is Databricks so popular?

Databricks is popular because of its flexibility and ease of use. It is a powerful and affordable data storage solution.

Q. Is Databricks a SQL database?

Databricks SQL offers standard computational resources for SQL queries, visualizations, and dashboards run upon the lakehouse tables. These queries, visualizations, and dashboards are created and performed within Databricks SQL through the SQL editor.

Q. What is the difference between Spark and Databricks?

Get Ready for Your Next Interview at Databricks

Interview Kickstart is a great platform to help you with your Databricks interview preparation. We offer separate courses for each role. Our alumni have successfully landed jobs in FAANG and Tier-1 tech companies across the world.

Knowing very well that clearing an interview requires much more than sound technical knowledge, we train you in a manner that helps you develop a winner's stride. IK is your golden ticket to land the job you deserve.

At Interview Kickstart, we also provide practice problems and solutions to thoroughly brush up on your fundamental and specific technical skills, general attributes, and problem-solving skills. Our coaches are industry experts with a proven track record.

Register for our FREE webinar to know more!


Last updated on: 
November 2, 2023
Author
Ashwin Ramachandran
Head of Engineering @ Interview Kickstart. Enjoys cutting through the noise and finding patterns.
The fast well prepared banner

Databricks Interview Questions

Databricks provides a cloud-based unified platform to simplify data management systems and ensure faster services with real-time tracking. In 2023, it ranked number 2 on Forbes Cloud 100 list. At the moment, it serves more than 9,000 organizations, including 40% of the Fortune 500 companies. The platform comprises collaborative data science, massive data engineering, an entire lifecycle of machine learning, AI, and other business analytics.

The responsibility of a Databricks software engineer in any company, including Databricks, is to design a highly performant data ingestion pipeline using Apache Spark. Therefore, the Databricks interview questions are structured specifically to analyze a software developer's technical skills and personal traits. The interview is undoubtedly hard to crack. However, the Q&A series provided here with systematic guidance will certainly help with your preparation.

If you are preparing for a tech interview, check out our technical interview checklist, interview questions page, and salary negotiation e-book to get interview-ready!

Having trained over 13,500 software engineers, we know what it takes to crack the toughest tech interviews. Since 2014, Interview Kickstart alums have been landing lucrative offers from FAANG and Tier-1 tech companies, with an average salary hike of 49%. The highest ever offer received by an IK alum is a whopping $933,000!

At IK, you get the unique opportunity to learn from expert instructors who are hiring managers and tech leads at Google, Facebook, Apple, and other top Silicon Valley tech companies.

Want to nail your next tech interview? Sign up for our FREE Webinar.

This article will guide you through some of the common questions asked during interviews at Databricks. Here’s what we’ll discuss:

  • What Are the Different Positions Offered to a Software Engineer at Databricks?
  • The Interview Process at Databricks
  • How to Prepare for Technical Interview Questions at Databricks
  • What Are the Most Common Databricks Interview Questions?
  • Unique Interview Questions Asked at Databricks
  • FAQs on Databricks

What Are the Different Positions Offered to a Software Engineer at Databricks?

Databricks has offices across the world, with headquarters in San Francisco. Therefore, it has multiple vacancies in the domain of software engineering, such as:

  • Customer Data Engineer
  • Solution Consultant
  • Backline Technical Solutions Engineer
  • Cloud Solution Engineer
  • Technical Solution Analyst
  • Engineer Manager/Distributed Data System
  • Front-End Engineer
  • Back-End Engineer
  • Product Security Engineer
  • Senior Engineer – Database Engine Internals
  • Senior Engineer – Distributed Data System
  • Full-stack Engineer
  • Technical Program Manager – Cloud Program

The Interview Process at Databricks

To apply for a software engineer role at Databricks, check the careers page of Databricks, LinkedIn, or Glassdoor. You can also apply via employee referral. When uploading your resume, ensure that you highlight all of the relevant experience that the role requires.

The interview mainly consists of a phone screen and an on-site interview.

Rounds of interviews for Databricks

Phone screen: If your application matches, the recruiter will reach out to you and conduct a basic screening of personal traits and technical skills.

The on-site interview comprises the following rounds:

  • Behavioral round
  • Code challenge assignment
  • Technical round
  • Personal attributes check

If you successfully clear all interview rounds, the recruitment team will take you through joining formalities.

How to Prepare for Technical Interview Questions at Databricks

The technical interview questions at Databricks focus on two verticals:

  • Technical algorithms related to the data structure, memory utilization, and interface in the language of computer science.
  • Coding assessment with a focus on problem-solving skills.

Besides giving the right answer, you also have to focus on the question from the perspective of solving a problem in a realistic environment.

To prepare for interview questions at Databricks for technical algorithms, focus on:

  • Design
  • Code structure
  • Debugging

There will be questions on the framework on which you do not have experience. However, these are to analyze your ability to read documents and solve complex problems from practical experience.

Topics for coding assessment at Databricks are as follows:

  • Web communication – Http, authentication, WebSockets.
  • Browser fundamentals – Js event handling and caching.
  • API + data handling.
  • Data modeling.

Coding-Related Databricks Interview Question Topics

Here are some topics and concepts that you should definitely cover when preparing for your Databricks coding interview.

  • Climbing word ladder
  • String breakdown
  • Loop in a linked list
  • Substring in string
  • Invert binary tree
  • Targets and vicinities
  • FizzBuzz
  • Cloud computation
  • Github

What Are the Most Common Databricks Interview Questions?

Here are some samples of Databricks’ interview questions and answers that will help to amp up your preparations.

1. Do Compressed Data Sources Like .csv.gz Get Distributed in Apache Spark?

When we read a compressed data source arranged in serial, it is called Single-Threaded. When such data is read off disk, it remains in memory as a distributed dataset. Therefore, only the initial read is not distributed. Compressed files are difficult to break; however, readable/chunkable files get distributed in multiple extents in an Azure data lake or Hadoop file system. Chunking up a lot of files in compressed form creates a thread per file depending on the number of files.

2. Should You Clean Up DataFrames, Which Are Not in Use for a Long Time?

DataFrames should not be deleted unless you use the cache since cache chunks up memory.

3. Do You Select All Columns of a CSV File When Using Schema With Spark .read?

CSV cannot identify a vertical slice of data. Therefore, it has to read the full file. For columnar files like Parquet, you may avoid reading each column.

4. Can You Use Spark for Streaming Data?

Spark supports multiple streaming processes at a time. You can both read and write streaming data or stream multiple deltas. It is a part of core Spark.

5. Does Text Processing Support All Languages? How Are Multiple Languages Implicated?

Supporting multiple languages is dependent on the package. For example, if you are using Python with NTLK and Spacey, it can support multiple languages. On the other hand, if you are using Spark with MLLIB or John Snow Labs with NLP library, it can support all languages.

Unique Interview Questions Asked at Databricks

Mentioned below are some unique interview questions asked at Databricks:

  1. What are the differences between Azure Databricks and Databricks?
  2. What is caching and its different types?
  3. Which ETL operations are done on Azure Databricks?
  4. What is the SQL version used in Databricks?
  5. What is Kafka and its uses?

FAQs on Databricks

Q. Is Databricks associated with Microsoft?
Azure Databricks is a Microsoft Service, which is the result of the association of both companies. The end product is Apache Spark-based analytics.

Q. Does Databricks certification help to crack the interview?
Yes, candidates with Databricks certification have a higher chance of acing their interview.

Q. Why is Databricks so popular?

Databricks is popular because of its flexibility and ease of use. It is a powerful and affordable data storage solution.

Q. Is Databricks a SQL database?

Databricks SQL offers standard computational resources for SQL queries, visualizations, and dashboards run upon the lakehouse tables. These queries, visualizations, and dashboards are created and performed within Databricks SQL through the SQL editor.

Q. What is the difference between Spark and Databricks?

Get Ready for Your Next Interview at Databricks

Interview Kickstart is a great platform to help you with your Databricks interview preparation. We offer separate courses for each role. Our alumni have successfully landed jobs in FAANG and Tier-1 tech companies across the world.

Knowing very well that clearing an interview requires much more than sound technical knowledge, we train you in a manner that helps you develop a winner's stride. IK is your golden ticket to land the job you deserve.

At Interview Kickstart, we also provide practice problems and solutions to thoroughly brush up on your fundamental and specific technical skills, general attributes, and problem-solving skills. Our coaches are industry experts with a proven track record.

Register for our FREE webinar to know more!


Recession-proof your Career

Recession-proof your Software Engineering Career

Attend our free webinar to amp up your career and get the salary you deserve.

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Register for Webinar

Recession-proof your Career

Recession-proof your Software Engineering Career

Attend our free webinar to amp up your career and get the salary you deserve.

Ryan-image
Hosted By
Ryan Valles
Founder, Interview Kickstart
blue tick
Accelerate your Interview prep with Tier-1 tech instructors
blue tick
360° courses that have helped 14,000+ tech professionals
blue tick
57% average salary hike received by alums in 2022
blue tick
100% money-back guarantee*
Register for Webinar

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