Cloud Data Engineer
hace 1 semana
**Descripción**:
Consiste en un rol técnico que participa en proyectos que involucran el despliegue de servicios de nube (previamente diseñados por un cloud data architect) que típicamente conforman esquemas de datalake/deltalake y datawarehouse en la nube, ingesta de datos, integración, transformación, aplicación de reglas de negocio y disponibilización de capas de consumo de datos.
El data engineer acelera la obtención de resultados en los proyectos de datos mediante la aplicación de sus habilidades y experiência a nível técnico y el resultado de su trabajo es el punto de partida para los equipos de analítica y ciencia de datos.
Su especialidad son los componentes de gestión de datos en AWS, Azure, GCP o Snowflake.
**Responsabilidades y Funciones Clave**:
- Despliega servicios (serverless) y habilita el flujo de datos mediante una arquitectura previamente diseñada por un Cloud data Architect.
- Detecta oportunidades de mejora a nível de arquitectura de datos.
- Construye procesos de extracción de datos de múltiples sistemas de información, bases de datos y archivos planos.
- Integra múltiples fuentes de información mediante la construcción de procesos de carga a repositorios en la nube.
- Desarrolla procesos de carga en micro batch, batch y streaming de datos.
- Desarrolla procesos de transformación de datos a aplicar en volúmenes grandes de información.
- Desarrolla procesos de aplicación de reglas de negocio para construcción de modelos de datos.
- Construye automatizaciones y agendamientos de procesos de carga de datos.
- Conduce datos desde sus orígenes a través de las diferentes capas de un datalake/deltalake hasta llevarlos a una capa de explotación disponibilizandolos para su consumo por parte de usuarios de negocio, analistas o científicos de datos.
**Perfil ideal del cargo**:
- Título profesional en ingeniería de sistemas, software, electrónica, mecatrónica o afines.
- Experiência demostrable mínimo de 2 años en general en proyectos de datos en la nube o migraciones de repositorios de datos a la nube (AWS, GCP y Azure).
- SQL Avanzado
- Experiência en Desarrollo de procesos de ETL/ELT en componentes como AWS Glue, Azure Data Factory, Google Data Fusion entre otras.
**Condiciones**:
Contrato: Indefinido.
Horario laboral: lunes a viernes 8:30 am a 6:00 pm.
Condiciones salariales: En función a experiência.
Mas diferentes beneficios extralegales.
Tipo de puesto: Tiempo completo, Indefinido
Salario: $2.000.000 - $8.000.000 al mes
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