Databricks Data Engineer Interview Questions

I enforce strict schema validation by default on Gold analytical tables to prevent downstream query breakages, while allowing controlled schema evolution on raw Bronze/Silver ingestion layers.

Batch processing reads the entire input dataset in discrete runs, while streaming uses Structured Streaming under the hood to process incoming append-only data continuously or incrementally.

I use Databricks Secret Scopes backed by Azure Key Vault or AWS Secrets Manager rather than hardcoding tokens or keys in notebooks and job configurations.

I integrate Databricks Job notifications with PagerDuty/Slack, stream audit logs to cloud monitoring (CloudWatch/Azure Monitor), and set SLAs on output table timestamps.

I am passionate about building lakehouse architectures at scale, contributing to Lakehouse standards like Delta Lake and Spark, and enabling high-performance data platforms for thousands of enterprises.