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Discuss the nature and volume of data you manage daily

General/Otherhard0.2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Data Types**: Structured (transactions, dimensions), semi-structured (logs, events). **Volume**: Hundreds of GB to multi-TB. **Sources**: Batch (Airflow), streaming (Kafka). **Stack**: Spark/Databricks, Snowflake/BigQuery, S3/GCS. **Responsibilities**: ETL, schema evolution,...

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Asked at 1 company
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151E|43M|49H
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Expert Answer
43 words

Data Types: Structured (transactions, dimensions), semi-structured (logs, events). Volume: Hundreds of GB to multi-TB. Sources: Batch (Airflow), streaming (Kafka). Stack: Spark/Databricks, Snowflake/BigQuery, S3/GCS.

Responsibilities: ETL, schema evolution, data quality, serving for BI/ML. Metrics: Pipeline run time, failure rate, data quality scores, consumer satisfaction.

⚡
Pro Tip

Red Flag: Vague 'lots of data.' Pro-Move: Specific volumes, formats, and latency SLAs.

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