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 Engineer
•
System Design
•
hard
Design a real-time analytics platform for IoT telemetry data using Databricks. Walk through the ingestion, processing, and serving layers using the Medallion architecture.
#Streaming
#Medallion Architecture
#Kafka
#Structured Streaming
#Delta Live Tables
Data Engineer
•
System Design
•
medium
How would you handle late-arriving data and out-of-order events in a Spark Structured Streaming pipeline? Explain the concept of watermarking.
#Structured Streaming
#Watermarking
#Late Data
#Event Time
Data Engineer
•
System Design
•
hard
Design a batch ETL pipeline to process 10TB of daily log data. The business needs to query this data interactively with sub-second latency. How do you model the data and optimize the storage?
#Batch Processing
#Data Modeling
#Performance Optimization
#Lakehouse
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.