Databricks

Data Engineer Interview Experience - Lucknow, India

January 28, 2026

Negative ExperienceNo Offer

Process

The interview started with questions based on my resume, followed by detailed discussion on my projects, technical concepts, challenges I faced during development, some theoretical questions, and a few basic aptitude and problem-solving questions.

Questions

What is React?

Tell me the challenges you faced.

Was this helpful?

Interview Statistics

The following metrics were computed from 1 interview experience for the Databricks Data Engineer role in Lucknow, Uttar Pradesh.

Success Rate

0%

Pass Rate

Databricks's interview process for their Data Engineer roles in Lucknow, Uttar Pradesh is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive0%

Neutral0%

Negative100%

Candidates reported having very negative feelings for Databricks's Data Engineer interview process in Lucknow, Uttar Pradesh.

Databricks Work Experiences

Supportive Team, Budget Issues

Data Engineer • Current Employee

Pros: Good team. All are supportive.

Cons: No proper budget for contractors.

Supportive Team, Budget Issues

Data Engineer • Current Employee

Pros: Good team. All are supportive.

Cons: No proper budget for contractors.

Excellent learning culture; some process friction

Data Engineer • Current Employee

London, England, United Kingdom

September 20, 2025

Pros: Strong mentorship and many opportunities to learn new data tools and ML workflows. Collaborative team atmosphere with regular knowledge-sharing sessions. Competitive salary and comprehensive benefits package. Flexible work-from-home policy and supportive manager.

Cons: Rapid product changes sometimes cause shifting priorities and workload spikes. Onboarding documentation could be more complete for new hires.

Excellent learning culture; some process friction

Data Engineer • Current Employee

London, England, United Kingdom

September 20, 2025

Pros: Strong mentorship and many opportunities to learn new data tools and ML workflows. Collaborative team atmosphere with regular knowledge-sharing sessions. Competitive salary and comprehensive benefits package. Flexible work-from-home policy and supportive manager.

Cons: Rapid product changes sometimes cause shifting priorities and workload spikes. Onboarding documentation could be more complete for new hires.

Good Stock Benefit

Data Engineer • Current Employee

Bengaluru, Karnataka, India

October 14, 2022

Pros: Good stock benefits. Friendly work culture. Good work-life balance.

Cons: Not any till as of now.

Good Stock Benefit

Data Engineer • Current Employee

Bengaluru, Karnataka, India

October 14, 2022

Pros: Good stock benefits. Friendly work culture. Good work-life balance.

Cons: Not any till as of now.

Supportive Team, Budget Issues

Data Engineer • Current Employee

Pros: Good team. All are supportive.

Cons: No proper budget for contractors.

4.0
Supportive Team, Budget Issues
Data Engineer • Current Employee
March 6, 2022
Pros: Good team. All are supportive.
Cons: No proper budget for contractors.

Excellent learning culture; some process friction

Data Engineer • Current Employee

London, England, United Kingdom

September 20, 2025

Pros: Strong mentorship and many opportunities to learn new data tools and ML workflows. Collaborative team atmosphere with regular knowledge-sharing sessions. Competitive salary and comprehensive benefits package. Flexible work-from-home policy and supportive manager.

Cons: Rapid product changes sometimes cause shifting priorities and workload spikes. Onboarding documentation could be more complete for new hires.

4.0
Excellent learning culture; some process friction
Data Engineer • Current Employee
London, England, United Kingdom
September 20, 2025
Pros: Strong mentorship and many opportunities to learn new data tools and ML workflows. Collaborative team atmosphere with regular knowledge-sharing sessions. Competitive salary and comprehensive benefits package. Flexible work-from-home policy and supportive manager.
Cons: Rapid product changes sometimes cause shifting priorities and workload spikes. Onboarding documentation could be more complete for new hires.

Good Stock Benefit

Data Engineer • Current Employee

Bengaluru, Karnataka, India

October 14, 2022

Pros: Good stock benefits. Friendly work culture. Good work-life balance.

Cons: Not any till as of now.

5.0
Good Stock Benefit
Data Engineer • Current Employee
Bengaluru, Karnataka, India
October 14, 2022
Pros: Good stock benefits. Friendly work culture. Good work-life balance.
Cons: Not any till as of now.

Databricks Interview Questions

Design Hit Counter

Design a hit counter that records hits and retrieves the number of hits in the past 5 minutes. You need to implement methods to record a hit and get the total hits in a sliding window.

Design Tic-Tac-Toe

Implement a Tic-Tac-Toe game where players take turns placing their marks. Design the game logic to efficiently determine the winner after each move.

IP to CIDR

Convert an IP address and a number of addresses to a CIDR block representation. Find the smallest list of CIDR blocks that covers the specified range of IP addresses.

Bit Manipulation

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