System Design questions from Swiggy data engineering interviews.
These system design questions are sourced from Swiggy data engineering interviews. Each includes an expert-level answer.
Explain the trade-offs between batch and real-time data processing. Provide examples of when each is appropriate.
Describe a scenario where you had to optimize a slow-running data pipeline.
Design a data warehouse schema to track orders, customers, delivery partners, and payments.
Design a logging and monitoring solution for a mission-critical data pipeline.
Design a system to handle 1M daily transactions with real-time analytics for Swiggy.
Discuss trade-offs between serverless and traditional cloud data architectures.
Explain how you would design a pipeline for streaming real-time order status updates.
How do you ensure data quality in an automated pipeline?
How do you ensure the scalability of a data pipeline handling rapidly growing data volumes?
How do you handle schema evolution in a system with multiple data sources and consumers?
How would you handle late-arriving data in a real-time stream processing pipeline?
How would you handle schema changes in a production ETL pipeline?
How would you use monitoring tools to detect and resolve pipeline failures proactively?
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