Data engineering interview questions · easy
What are Airflow Operators? Give examples.
Explain the difference between Azure Data Factory (ADF) and Databricks.
How do you handle data security and compliance in a cloud environment?
What is Azure Data Factory (ADF), and what are its main components?
What is the role of the Integration Runtime (IR) in ADF?
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Learn the platform used by your target companies. AWS is most common overall (Glue, Redshift, S3, Kinesis). GCP is preferred by Google and startups (BigQuery, Dataflow, Pub/Sub). Azure is dominant in enterprise (Synapse, Data Factory). Learn one deeply and understand the equivalents on others.
Core tools: SQL, Python, Spark, Airflow (or equivalent orchestrator), one cloud platform. Increasingly important: dbt, Kafka, Terraform, Docker/Kubernetes, Delta Lake or Apache Iceberg, a data observability tool. The specific stack varies by company.
Yes. Apache Airflow is the most widely used orchestration tool and questions about DAG design, task dependencies, XComs, operators, and failure handling are common. If the company uses a different orchestrator, expect similar questions adapted to their tool.