Real questions from top companies
How would you build a reusable ETL framework using Airflow?
How would you design a cost-effective data lake architecture on AWS or Azure?
How would you design a cost-effective, scalable, and efficient data pipeline for an e-commerce website?
How would you design a data archiving strategy in S3 using lifecycle policies?
How would you design a data ingestion framework for heterogeneous data sources?
How would you design a data pipeline to handle late-arriving data?
How would you design a data platform to handle real-time transaction data for a retail business?
How would you design a database to handle historical data storage for compliance purposes?
How would you design a logging framework to track errors across multiple services?
How would you design a real-time pipeline for generating daily retail sales reports?
How would you design a scalable data ingestion pipeline?
How would you design a scalable data lake for Adidas's global e-commerce operations?
How would you design a system to support personalized recommendations at scale?
How would you design an architecture that supports both batch and real-time analytics for sales data?
How would you design the architecture to handle high availability and scalability?
How would you ensure data quality and integrity in a data pipeline? Discuss the steps you would take to validate and cleanse data.
How would you ensure the system can handle millions of concurrent users?
How would you fetch data from an external API, and what AWS services would you use to build a scalable data pipeline?
How would you fix a client's failing reporting pipeline suffering from performance bottlenecks?
How would you handle late-arriving data in a real-time stream processing pipeline?
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