Databricks

Databricks

Unified analytics platform built on Apache Spark for data engineering and ML.

4 Rounds ~21 Days Hard
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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

Data Scientist 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

Difficulty Radar

Based on recent AI-sourced data.

Meet Your Interviewers

The "Standard" Interviewer

Senior Engineer

Focuses on core competencies, system constraints, and clear communication.

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Unwritten Rules

Think Out Loud

Always explain your thought process before writing code or drawing architecture.

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