Works with
ClClaudeNative
CoCodexPackaged
GPGPTPackaged
GeGeminiPackaged
CuCursorPackaged
OpOpenCodePackaged
Senior Data Engineer
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
Optimized workflow
This edition turns the source methodology into a repeatable agent workflow with explicit inputs, checkpoints and deliverables.
Quality standard
- Confirm scope and missing inputs before execution
- Ground decisions in available evidence and preserve source constraints
- Return an actionable result with assumptions, risks and next steps
Agent compatibility
The same core method is packaged for Claude, Codex, GPT, Gemini, Cursor and OpenCode.
Permissions & security
Low risk
Source verified · conversion tested · security signals reviewed