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
Data Scientist
•
Coding
•
medium
Write a PySpark script to calculate the 7-day rolling average of cluster compute costs per customer, given a massive dataframe of daily billing events.
#PySpark
#Window Functions
#Distributed Computing
Product Manager
•
Coding
•
medium
Write a Python function using PySpark to read a JSON dataset of user events, filter out records with missing user_ids, and aggregate the count of specific event types per user per day.
#PySpark
#Data Processing
#Python
#ETL
Software Engineer
•
Technical
•
hard
Explain how you would diagnose and resolve a Spark application that is suffering from severe data skew and frequent OutOfMemory (OOM) errors during a large join operation.
#Apache Spark
#Performance Tuning
#Distributed Computing
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.