Real questions from top companies
How do you handle production deployment?
How do you handle schema evolution in a system with multiple data sources and consumers?
How do you monitor and troubleshoot data pipeline failures in Data Fusion?
How do you optimize data ingestion?
How do you pass global variables between pipelines?
How do you use dependency tracing to identify root causes in pipeline failures?
How does HDFS handle fault tolerance?
How does Presto fetch data from a data catalog?
How does Spark handle distributed computing, and what challenges have you faced while working on distributed systems?
How does data flow through the system? From ingestion to processing and storage?
How to adapt the same pipeline to a cloud environment?
How to capture data lineage for Spark code, using a DataHub-based example?
How to create a database from scratch and architect it for scalability and performance?
How to set up ETL pipelines using Apache Airflow?
How to store massive data in a distributed system?
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?
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