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
•
System Design
•
hard
Design a machine learning system to predict which Databricks customers are likely to churn in the next 30 days. Discuss feature engineering, model selection, and how you would scale the inference using Delta Lake.
#Churn Prediction
#Delta Lake
#Scalability
#Feature Engineering
Data Scientist
•
System Design
•
hard
Design an LLM-powered coding assistant for Databricks notebooks (similar to Databricks Assistant). Focus on the telemetry data you would collect to evaluate the model's performance offline and online.
#LLMs
#Telemetry
#Online Evaluation
#Product Analytics
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.