Swiggy
Leading Indian food delivery aggregator with complex real-time logistics.
4 Rounds
~15 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
•
medium
How do you handle data skewness in Spark when joining a massive 'orders' table with a smaller 'restaurants' table?
#Apache Spark
#Performance Tuning
#Data Skew
Data Engineer
•
Technical
•
easy
Explain the difference between repartition() and coalesce() in Spark. When would you use which in a daily batch pipeline?
#Apache Spark
#Partitioning
#Shuffling
Data Engineer
•
Technical
•
medium
How does Spark handle memory management? Explain the difference between execution memory and storage memory.
#Apache Spark
#Memory Architecture
#Internals
Data Engineer
•
Technical
•
hard
You have a Spark job failing with an OutOfMemory (OOM) error. Walk me through your debugging steps.
#Apache Spark
#Troubleshooting
#OOM
Data Engineer
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Technical
•
medium
What is Adaptive Query Execution (AQE) in Spark 3.0, and how would it benefit Swiggy's ETL workloads?
#Apache Spark
#AQE
#Optimization
Data Engineer
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Technical
•
hard
How do you ensure exactly-once processing in a Kafka to Spark Streaming pipeline for payment transactions?
#Apache Kafka
#Spark Streaming
#Exactly-Once Semantics
Data Engineer
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Technical
•
medium
What happens if a Kafka consumer fails? How are offsets managed and reassigned?
#Apache Kafka
#Consumer Groups
#Fault Tolerance
Data Engineer
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Technical
•
medium
How would you handle a sudden spike in order events (e.g., during IPL finals) causing severe Kafka consumer lag?
#Apache Kafka
#Scaling
#Monitoring
Data Engineer
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Technical
•
hard
Explain how watermarks work in Apache Flink and how you would use them to handle late-arriving delivery status events.
#Apache Flink
#Streaming
#Event Time
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
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.