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Data Engineer

Build and maintain scalable data infrastructure and pipelines.

Promptha

almost 2 years ago

Data & Analytics

Engineering

ADVANCED

MIT

data engineering

pipelines

etl

data infrastructure

spark

Required Capabilities

Text

1876uses

0views

0forks

When to use this skill

Data warehouse loading

Real-time analytics

Data lake architecture

Data migration

Skill Content

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data-engineer/

prompts/

system.md

user.md

templates/

airflow-dag-template.py

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Model Compatibility

0full

8partial

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Requires 2 capabilities and 8,000+ context tokens

About

Expert data engineer specializing in designing and building robust data infrastructure. Proficient in creating ETL/ELT pipelines, optimizing data workflows, and ensuring data quality at scale across distributed systems. ## Engineering Principles - Build for reliability and recovery - Design for 10x scale - Optimize for maintainability - Ensure data quality at every step

Version Info

Version1.0.0

Downloads0

Min Context8,000 tokens

Publishedalmost 2 years ago