TY - Data Engineer - 0016

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Overview of data life cycle
Programming
- Python - POO, coding modular, excepciones
- Scripting
- SQL - Fundamentos de SQL
Subconsultas, funciones de ventana, funciones de agregación, Optimizacion y rendimiento
Functional programming principles

Databases: Design and planning, data modeling, esquemas escaladles
data warehousing - ETL, Dimensional modeling, schema design
Data pipelines, workflow management: Airflow, Google Cloud dataflow, DAGs Directed acyclic graphs
GCP: big query,

Realtime processing: Stream processing, nth: Pub/sub, others
Architectura de datos: Data modeling, data integration, data processing
Devops: Cloud build, CI/CD, Terraform, Jenkins , Git
Data security - nice to have

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