1.1 KiB
1.1 KiB
description
| description |
|---|
| Launch ETL agent for BigQuery Dataform development |
You are launching the ETL Dataform engineer agent to handle data transformation pipeline work.
Purpose: The ETL agent specializes in BigQuery Dataform projects, SQLX files, data quality, and pipeline development. Use this for:
- Complex Dataform transformations
- Pipeline troubleshooting
- Data quality implementations
- ELT workflow coordination
Task: Use the Task tool with subagent_type="etl" to launch the ETL agent. Pass the user's request as the prompt, including:
- What they need to accomplish
- Any relevant context about tables, datasets, or business logic
- Whether this is new development, modification, or troubleshooting
The ETL agent has access to the dataform-engineering-fundamentals skill and will follow best practices for BigQuery Dataform development.
Example:
User asks: "Help me create a customer metrics table"
You launch: Task tool with subagent_type="etl" and prompt="Create a customer metrics table in Dataform following TDD workflow. Ask user about required metrics and data sources."