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Data Warehousing and ETL

Data Warehousing and ETL Tests for Hiring Engineers

This quiz assesses a candidate's knowledge of data warehousing and ETL ("extract, transform, load") tasks. It asks questions about data parsing and initial storage, scheduling and orchestration, processing approaches (e.g. batch vs streaming), auditability, data marts, and data modeling concepts like star schemas and slowly changing dimensions. It does not assume the use of any specific frameworks.

The Data Warehousing assessment tests understanding of handling big data, like ingestion, orchestration, processing, and cleaning.

• Understanding of data warehouse design, database design, schemas, tables, and constraints.
• Ability to compare the use-cases of different data warehouse architectures.
• Understanding of scheduling, automating, and monitoring ETL pipelines, and compare the use-cases of different data pipeline designs.

Used to hire engineers by teams like
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Easy candidate assessments

Test Overview

  • How long it takes to complete this skill block:
    This section takes 15 minutes to complete
  • Role this block is best suited for:

    • Data Miner• Business Intelligence Technical Specialist• Data Warehousing Business Analyst• Data Warehousing ETL Expert• Data Warehouse Architect• Date Warehousing Developer• Data Scientist

  • Related skill blocks:

    • Data Science
    • Python
    • Machine Learning

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