Interview questions · hard
Describe how Adidas could use S3 and Athena to analyze clickstream data.
Explain your approach to designing a scalable customer loyalty program data platform.
Discuss a project where you balanced business goals with technical constraints.
Design a star schema for retail analytics (e.g., Adidas). Explain the dimensional modeling choices, SCD strategy, and how you would scale this schema for global multi-currency, multi-region deployments. What are the refresh and storage cost implications?
Explain the differences between OLTP and OLAP databases and their relevance in Adidas's operations.
What are the benefits of using a cloud data warehouse (e.g., Redshift, Snowflake) for analytics?
Describe how you would monitor ETL job performance and handle long-running tasks.
Explain how you would implement real-time analytics using a streaming platform like Kafka or Kinesis.
Describe a system design to handle product launches with massive traffic spikes.
Describe how you would debug a failing ETL pipeline in production.
Describe how you'd design a system to track inventory and sales in real-time.
Design a data pipeline to collect, process, and visualize customer feedback from Adidas stores worldwide.
Design a database schema to store customer transactions, including attributes like region, product category, and timestamp.
How would you architect a recommendation system for Adidas's e-commerce platform?
How would you build a reusable ETL framework using Airflow?
How would you design a scalable data lake for Adidas's global e-commerce operations?
How would you design an architecture that supports both batch and real-time analytics for sales data?
How would you implement a near real-time data pipeline for analyzing user behavior on the Adidas mobile app?
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