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Task 6:
You have a source table with orders updated throughout the day, and you need to load it into a warehouse every hour. How would you design an incremental load so that new and changed rows are captured correctly without reprocessing the full table each time?

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Who is a Data Engineer?

A Data Engineer designs and maintains systems that collect, transform, and deliver data for analytics and business decisions.

What does a Data Engineer do?

  • Builds reliable ETL/ELT pipelines from multiple data sources.
  • Prepares clean and structured datasets for analysts and data scientists.
  • Designs data warehouse schemas (fact and dimension tables).
  • Monitors data quality, freshness, and pipeline failures.
  • Optimizes query performance and data processing costs.

What should a Data Engineer know?

  • Strong SQL: joins, aggregations, window functions, and query tuning.
  • Data modeling: normalization, denormalization, star and snowflake schemas.
  • Pipeline orchestration and scheduling principles.
  • Batch and streaming concepts, incremental loading, and idempotency.
  • Cloud storage, data warehouses, and observability basics.

This page helps you practice interview-style Data Engineering questions on SQLTest.online.