Interview questions · easy
Explain how to implement schema validation for incoming data streams.
Propose a solution for monitoring and maintaining data quality across multiple regions.
What's your approach to continuous learning, especially in evolving data technologies?
Create a function to detect anomalies in sales trends using Pandas and NumPy.
Write a Python script to process raw JSON files containing sales data and load them into a relational database.
Walk through a production incident where data freshness or correctness was at risk. How did you balance immediate mitigation vs. root-cause remediation? What architectural changes would prevent recurrence, and what are the cost vs. reliability trade-offs?
How would you create a materialized view for frequently accessed aggregated sales data?
Tell us about a project where you optimized an existing process or pipeline. What was the impact?
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