KPMG
Multinational professional services network, and one of the Big Four accounting organizations.
4 Rounds
~21 Days
Medium
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
•
medium
Explain how Spark handles data partitioning and why it matters for pipeline performance.
#PySpark
#Partitioning
#Distributed Computing
Data Engineer
•
Technical
•
hard
How do you handle data skewness in a PySpark join operation where one key has millions of records and others have very few?
#PySpark
#Data Skew
#Performance Tuning
Data Engineer
•
Technical
•
medium
What is a broadcast join in Spark, and when would you use it in a client's ETL pipeline?
#PySpark
#Joins
#Optimization
Data Engineer
•
Technical
•
easy
Explain the difference between transformations and actions in Spark. Give examples of each.
#PySpark
#Lazy Evaluation
Data Engineer
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Technical
•
hard
How would you troubleshoot and optimize a PySpark job that is failing with an OutOfMemory (OOM) error on the driver node?
#PySpark
#Troubleshooting
#Memory Management
Data Engineer
•
Technical
•
medium
Explain the concept of Delta Lake and its advantages over traditional Parquet files in a data lake.
#Delta Lake
#ACID Transactions
#Time Travel
Difficulty Radar
Based on recent AI-sourced data.
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The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.