Databricks
Unified analytics platform built on Apache Spark for data engineering and ML.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Cloud Engineer
•
Coding
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easy
Given a list of JSON objects representing cloud resource logs, write a function to parse the logs, aggregate the total compute cost per team, and return the top 3 most expensive teams.
#JSON Parsing
#Aggregation
#Data Structures
Cloud Engineer
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Coding
•
hard
Implement a distributed rate limiter in Go or Python that could be used to throttle incoming API requests to a cloud provisioning service to prevent quota exhaustion.
#Concurrency
#Distributed Systems
#Rate Limiting
#Redis
Data Engineer
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Coding
•
medium
Given a list of user session logs with start and end timestamps, write a Python function to find the peak concurrent active users.
#Python
#Intervals
#Sorting
#Time Complexity
Data Engineer
•
Coding
•
medium
Write a Python script to flatten a deeply nested JSON object representing e-commerce transactions into a tabular format suitable for a Pandas or Spark DataFrame.
#Python
#Recursion
#Data Parsing
#JSON
Data Scientist
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Coding
•
medium
Given a list of strings representing Databricks notebook execution logs, write a Python function to extract the most frequent error codes and return them sorted by frequency. Assume logs are unstructured text.
#Python
#String Parsing
#Hash Maps
#Regex
Data Scientist
•
Coding
•
hard
Write a Python algorithm to implement a stratified sampling method for a dataset that is too large to fit into memory, reading it chunk by chunk.
#Python
#Streaming
#Reservoir Sampling
#Memory Management
Machine Learning Engineer
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Coding
•
medium
Given two sparse matrices A and B represented as lists of non-zero elements (row, col, value), write a function to compute their product. How would you optimize this for a distributed environment?
#Math
#Hash Maps
#Distributed Computing
Machine Learning Engineer
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Coding
•
medium
Implement a LazyArray class in Python that takes an array of integers. It should support two operations: map(function) which applies a function to all elements, and indexOf(value) which returns the index of the first occurrence of the value. The map operation must be lazy (deferred execution) and optimized so that indexOf does not compute unnecessary elements.
#Object-Oriented Design
#Lazy Evaluation
#Arrays
Machine Learning Engineer
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Coding
•
hard
Given a list of tasks with dependencies (represented as a directed graph) and the execution time for each task, write a function to calculate the minimum time required to complete all tasks assuming you have infinite parallel workers.
#Graphs
#Topological Sort
#Dynamic Programming
Machine Learning Engineer
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Coding
•
medium
Given a stream of user activity logs (timestamp, user_id, action), write a function to find the longest continuous session for each user. A session ends if there is a gap of more than 30 minutes between actions.
#Sliding Window
#Hash Maps
#Sorting
Machine Learning Engineer
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Coding
•
medium
You are given a list of intervals representing compute jobs on a cluster [start, end] and an associated CPU core requirement for each job. Write a function to determine the maximum number of CPU cores used at any point in time.
#Sweep Line
#Intervals
#Sorting
Machine Learning Engineer
•
Coding
•
medium
Implement a thread-safe Rate Limiter class for an API. It should support a method `is_allowed(client_id)` which returns True if the client has made fewer than N requests in the last M seconds, and False otherwise.
#Concurrency
#System Design
#Queues
Software Engineer
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Coding
•
hard
Implement a Key-Value store that supports transactions with `begin()`, `commit()`, and `rollback()` methods. It must handle nested transactions efficiently.
#Hash Map
#Stack
#State Management
Software Engineer
•
Coding
•
medium
Given a list of tasks with dependencies (represented as a directed graph) and execution times for each task, write a function to find the minimum time required to complete all tasks assuming infinite parallel workers.
#Graph Theory
#Topological Sort
#Dynamic Programming
Software Engineer
•
Coding
•
medium
Implement a data structure that supports `insert(key, value)`, `get(key)`, and `setAll(value)` all in O(1) time complexity.
#Hash Map
#Versioning
#Data Structures
Software Engineer
•
Coding
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medium
Given a string containing parentheses and lowercase characters, remove the minimum number of invalid parentheses to make the string valid. Return any valid result.
#Strings
#Stack
Difficulty Radar
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The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.