Interview questions · hard
How would you handle security and privacy concerns when working with sensitive data in a cloud environment?
In Python, process a large CSV in chunks and remove duplicate records based on email and timestamp.
What strategies and technologies would you consider when designing a data warehouse architecture for efficient data storage and retrieval?
How would you design a scalable and fault-tolerant data processing pipeline for handling large volumes of streaming data?
Share your experience in working with big data technologies such as Hadoop, Spark, or AWS EMR. How have you leveraged these tools in your previous projects?
Design a data model for an e-commerce system tracking orders, shipments, and payments.
Discuss your experience with ETL (Extract, Transform, Load) processes. What tools and techniques have you used to ensure efficient data extraction and transformation?
How would you build a pipeline that transforms semi-structured logs into a structured analytics layer?
How would you ensure data quality and integrity in a data pipeline? Discuss the steps you would take to validate and cleanse data.
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