Curso de Data Engineering
En este curso aprenderás a construir pipelines de datos reproducibles con el Modern Data Stack. Dominarás herramientas como Apache Spark, Airflow y dbt para ingestar, procesar y orquestar grandes volúmenes de información en arquitecturas listas para producción.
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DETALLES DEL CURSO:
Nivel:
Avanzado
Duración:
6 semanas
Módulos:
7
Clases en vivo:
1 clase semanal de 2 hs
Requisitos
HERRAMIENTAS:
Apache Spark
Apache Kafka
Airflow
dbt
Kubernetes
DIRECTOR/A DE CARRERA:
Pablo Guzzi
Chief Data & AI Officer @ Ualá Latam
AL FINALIZAR, PODRÁS:
Diseñar pipelines de ingestión escalables con Apache Kafka y almacenamiento en formatos columnarios como Parquet.
Procesar grandes volúmenes de datos con Apache Spark y versionar transformaciones reproducibles con dbt.
Orquestar y monitorear pipelines en producción con Airflow, Kubernetes y observabilidad con Prometheus y Grafana.
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Transforma tu carrera y conviértete en
Data Engineer
PARA QUIÉN ES:
Desarrolladores o analistas de datos con necesidad de escalar a la construcción de pipelines productivos y reproducibles.
Profesionales que necesiten dominar el Modern Data Stack con Spark, Kafka y Airflow en entornos reales.
Personas que busquen acceder a roles de Data Engineer, de los mejor pagados en la industria tech.
MODALIDAD:
CERTIFICACIÓN OFICIAL
Certificados oficiales
por empresas líderes
Certificado oficialmente por:
APRENDE CON IA
Explora el learning path completo
Aprenderás a diseñar pipelines de datos reproducibles con el Modern Data Stack. Aprendé a construir arquitecturas escalables que integren Apache Spark, Kafka, Airflow y dbt para llevar datos a producción con calidad y trazabilidad.
1/
7
Fundamentos del Modern Data Stack y entorno reproducible
2/
7
Ingestión y mensajería con Kafka y MinIO
3/
7
Procesamiento de datos con Apache Spark y DuckDB
4/
7
Transformaciones versionadas con dbt y CI/CD
5/
7
Orquestación y observabilidad con Airflow y Kubernetes
6/
7
Gobernanza, seguridad y optimización de pipelines
7/
7
Proyecto integrador: pipeline de datos reproducible
Este curso se actualiza continuamente para mejorar y adaptarse a los cambios del entorno digital.
Próximas fechas
18 de Mayo
Lunes — 22:00 hs a 00:00 hs
🔥
SALIDA LABORAL
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33.161 14.705 32.322 15.102 Z" fill="rgb(162, 153, 138)" height="29.052077929999996px" id="Fg0VyQnrb" transform="translate(1.5 7.5)" width="111.9950317428963px"/></svg>)
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