
Senior Data Engineer
This is a comprehensive data engineering skill that goes deep on production pipelines, ETL/ELT patterns, and data infrastructure. You get expertise across the modern data stack (Spark, Airflow, dbt, Kafka) plus actual implementation guidance for distributed processing, data quality validation, and pipeline orchestration. The skill covers both batch and real-time patterns, includes data modeling strategies, and handles DataOps concerns like monitoring and deployment. What stands out is the focus on scalability and production readiness rather than just getting pipelines running. Use this when you're building serious data infrastructure that needs to handle scale, not just proof-of-concept workflows.
- skills.sh installs
- 1.8K
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill senior-data-engineer --agent claude-codeInstalls into .claude/skills of the current project.
Files
Senior Data Engineer
World-class senior data engineer skill for production-grade AI/ML/Data systems.
Quick Start
Main Capabilities
# 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
Sponsors
Details
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