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
•
Technical
•
hard
You have a Spark job joining a massive fact table with a dimension table, and it is failing with an OutOfMemory (OOM) error due to data skew. How do you diagnose and fix this?
#Data Skew
#OOM
#Salting
#AQE
#Broadcast Joins
Data Engineer
•
Technical
•
medium
What is Adaptive Query Execution (AQE) in Spark 3.x? Explain the three main features it introduces and how they improve query performance.
#AQE
#Performance Tuning
#Query Plans
#Shuffle Partitions
Data Engineer
•
Technical
•
hard
Walk me through the exact execution lifecycle of a Spark application from the moment you submit it using spark-submit to the final output. Mention the Driver, Executors, Tasks, and Stages.
#Distributed Systems
#DAG
#Task Scheduling
#Cluster Manager
Data Scientist
•
Technical
•
hard
Explain how Apache Spark handles out-of-memory (OOM) errors during a wide transformation. How would you diagnose and fix an OOM error in a PySpark ML pipeline?
#Apache Spark
#OOM
#Debugging
#Distributed ML
Data Scientist
•
Technical
•
medium
Explain the difference between a broadcast hash join and a sort-merge join in Spark. When would you force a broadcast join in a data science pipeline?
#Spark Joins
#Optimization
#Big Data
#Query Planning
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