Real questions from top companies · hard
How we manage dependencies and retries in data pipelines
How would you architect a recommendation system for Adidas's e-commerce platform?
How would you automate a data pipeline deployment using GitHub Actions or another CI/CD tool?
How would you build a monitoring dashboard for ETL job failures?
How would you build a pipeline that transforms semi-structured logs into a structured analytics layer?
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?
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