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