Palantir
Big data analytics company for defense, intelligence, and enterprise.
5 Rounds
~28 Days
Very 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
How do you handle data skew in a distributed join operation in Spark? Walk me through at least three different strategies.
#Spark
#Distributed Computing
#Performance Optimization
Data Engineer
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Technical
•
medium
Explain the difference between `repartition()` and `coalesce()` in PySpark. In a data pipeline that writes to an S3 data lake, when would you use each?
#PySpark
#Data Partitioning
#Storage Optimization
Data Engineer
•
Technical
•
medium
What are Broadcast variables and Accumulators in Spark? Provide a real-world data engineering scenario where you would use each.
#Spark
#Distributed Variables
#Optimization
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.