Skill · em Dados, IA e pesquisa

senior-data-engineer

World-class 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…

Procedência

Origem: davila7/claude-code-templates
Caminho: cli-tool/components/skills/development/senior-data-engineer
Versão fixada: 57f899e5394bb8ca166f38eacae8f0853cbfe033
Licença: MIT
Espelhado em 25/09/2026
72 downloads no Claude Code Templates (lido em 25/09/2026)

Antes de instalar

7 arquivos · 17,8 KB · inclui 3 scripts que executam: scripts/data_quality_validator.py, scripts/etl_performance_optimizer.py, scripts/pipeline_orchestrator.py

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/senior-data-engineer/.

d=".claude/skills/senior-data-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-data-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/data_modeling_patterns.md" "$u/references/data_modeling_patterns.md" \
  -o "$d/references/data_pipeline_architecture.md" "$u/references/data_pipeline_architecture.md" \
  -o "$d/references/dataops_best_practices.md" "$u/references/dataops_best_practices.md" \
  -o "$d/scripts/data_quality_validator.py" "$u/scripts/data_quality_validator.py" \
  -o "$d/scripts/etl_performance_optimizer.py" "$u/scripts/etl_performance_optimizer.py" \
  -o "$d/scripts/pipeline_orchestrator.py" "$u/scripts/pipeline_orchestrator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/senior-data-engineer/.

d="$HOME/.claude/skills/senior-data-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-data-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/data_modeling_patterns.md" "$u/references/data_modeling_patterns.md" \
  -o "$d/references/data_pipeline_architecture.md" "$u/references/data_pipeline_architecture.md" \
  -o "$d/references/dataops_best_practices.md" "$u/references/dataops_best_practices.md" \
  -o "$d/scripts/data_quality_validator.py" "$u/scripts/data_quality_validator.py" \
  -o "$d/scripts/etl_performance_optimizer.py" "$u/scripts/etl_performance_optimizer.py" \
  -o "$d/scripts/pipeline_orchestrator.py" "$u/scripts/pipeline_orchestrator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/senior-data-engineer/.

d=".agents/skills/senior-data-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-data-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/data_modeling_patterns.md" "$u/references/data_modeling_patterns.md" \
  -o "$d/references/data_pipeline_architecture.md" "$u/references/data_pipeline_architecture.md" \
  -o "$d/references/dataops_best_practices.md" "$u/references/dataops_best_practices.md" \
  -o "$d/scripts/data_quality_validator.py" "$u/scripts/data_quality_validator.py" \
  -o "$d/scripts/etl_performance_optimizer.py" "$u/scripts/etl_performance_optimizer.py" \
  -o "$d/scripts/pipeline_orchestrator.py" "$u/scripts/pipeline_orchestrator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/senior-data-engineer/.

d="$HOME/.agents/skills/senior-data-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-data-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/data_modeling_patterns.md" "$u/references/data_modeling_patterns.md" \
  -o "$d/references/data_pipeline_architecture.md" "$u/references/data_pipeline_architecture.md" \
  -o "$d/references/dataops_best_practices.md" "$u/references/dataops_best_practices.md" \
  -o "$d/scripts/data_quality_validator.py" "$u/scripts/data_quality_validator.py" \
  -o "$d/scripts/etl_performance_optimizer.py" "$u/scripts/etl_performance_optimizer.py" \
  -o "$d/scripts/pipeline_orchestrator.py" "$u/scripts/pipeline_orchestrator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/senior-data-engineer/.

d=".agents/skills/senior-data-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-data-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/data_modeling_patterns.md" "$u/references/data_modeling_patterns.md" \
  -o "$d/references/data_pipeline_architecture.md" "$u/references/data_pipeline_architecture.md" \
  -o "$d/references/dataops_best_practices.md" "$u/references/dataops_best_practices.md" \
  -o "$d/scripts/data_quality_validator.py" "$u/scripts/data_quality_validator.py" \
  -o "$d/scripts/etl_performance_optimizer.py" "$u/scripts/etl_performance_optimizer.py" \
  -o "$d/scripts/pipeline_orchestrator.py" "$u/scripts/pipeline_orchestrator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/senior-data-engineer/.

d="$HOME/.gemini/antigravity-cli/skills/senior-data-engineer"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-data-engineer"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/data_modeling_patterns.md" "$u/references/data_modeling_patterns.md" \
  -o "$d/references/data_pipeline_architecture.md" "$u/references/data_pipeline_architecture.md" \
  -o "$d/references/dataops_best_practices.md" "$u/references/dataops_best_practices.md" \
  -o "$d/scripts/data_quality_validator.py" "$u/scripts/data_quality_validator.py" \
  -o "$d/scripts/etl_performance_optimizer.py" "$u/scripts/etl_performance_optimizer.py" \
  -o "$d/scripts/pipeline_orchestrator.py" "$u/scripts/pipeline_orchestrator.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.senior-data-engineer

Prévia do SKILL.md

---
name: senior-data-engineer
description: World-class 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, b…
---

# Senior Data Engineer

World-class senior data engineer skill for production-grade AI/ML/Data systems.

## Quick Start

### Main Capabilities

```bash
# Core Tool 1
python scripts/pipeline_orchestrator.py --input data/ --output results/

# Core Tool 2  
python scripts/data_quality_validator.py --target project/ --analyze

# Core Tool 3
python scripts/etl_performance_optimizer.py --config config.yaml --deploy
```

## Core Expertise

This skill covers world-class capabilities in:

- Advanced production patterns and architectures
- Scalable system design and implementation
- Performance optimization at scale
- MLOps and DataOps best practices
- Real-time processing and inference
- Distributed computing frameworks
- Model deployment and monitoring
- Security and compliance
- Cost optimization
- Team leadership and mentoring

## Tech Stack
…

Ver todo o marketplace