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Data engineers build the pipelines that move raw events into a warehouse analysts and models can trust. The common toolkit is SQL, Python, Airflow, Spark and a warehouse such as BigQuery, Redshift or Snowflake. Interviews lean on modelling and on how you would handle late, duplicate or malformed records, not on algorithm puzzles.

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