Top 30 Data Engineering Interview Questions
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- What is the difference between transformations and actions in Spark, and can you provide an example?
- How can data partitioning be optimized for performance in Spark?
- What is the difference between cache() and persist() in Spark, and when would you use each?
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- How does Kafka partitioning enable scalability and load balancing?
- How does Kafkaโs replication mechanism provide durability and fault tolerance?
- How would you manage Kafka consumer rebalancing to minimize data loss?
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- What are dynamic DAGs in Airflow, and what benefits do they offer?
- What are Airflow pools, and how do they help control task concurrency?
- How do you implement time-based and event-based triggers for DAGs in Airflow?
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- How would you design a data warehouse schema for an e-commerce platform?
- What is the difference between OLAP and OLTP, and how do they complement each other?
- What are materialized views, and how do they improve query performance?
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- How do you integrate automated testing into a CI/CD pipeline for ETL jobs?
- How do you manage environment-specific configurations in a CI/CD pipeline?
- How is version control managed for database schemas and ETL scripts in a CI/CD pipeline?
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- How do you write a query to fetch the top 5 highest salaries in each department?
- Whatโs the difference between the HAVING and WHERE clauses in SQL?
- How do you handle NULL values in SQL, and how do they affect aggregate functions?
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- How do you handle large datasets in Python, and which libraries would you use for performance?
- What are context managers in Python, and how do they help with resource management?
- How do you manage and log errors in Python-based ETL pipelines?
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- How would you optimize a Databricks job using Spark SQL on large datasets?
- What is Delta Lake in Databricks, and how does it ensure data consistency?
- How do you manage and secure access to Databricks clusters for multiple users?
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- What are linked services in Azure Data Factory, and how do they facilitate data integration?
- How do you use mapping data flows in Azure Data Factory to transform and filter data?
- How do you monitor and troubleshoot failures in Azure Data Factory pipelines?
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