Data Engineer
hace 5 días
**Data Engineer**
**Responsabilidades**:
- Diseñar, implementar y mantener pipelines de datos eficientes para la extracción, transformación y carga (ETL) de grandes volúmenes de datos, asegurando la calidad, integridad y disponibilidad de los mismos.
- Optimizar los flujos de procesamiento de datos y colaborar estrechamente con Arquitectos de Datos y Científicos de Datos para proporcionar datos confiables, accesibles y útiles para el análisis y la toma de decisiones.
- Automatizar y optimizar los procesos de integración de datos para garantizar escalabilidad y robustez en entornos cloud.
- Realizar monitoreo, depuración y optimización de trabajos ETL para asegurar un rendimiento continuo y confiable.
- Aplicar mejores prácticas de gobernanza de datos, seguridad y validación de calidad para garantizar la precisión y consistencia de los datos en los diferentes sistemas.
**Tecnologías y Herramientas**:
- **Frameworks ETL**: Apache Airflow, Luigi, dbt.
- **Lenguajes de Programación**: Python, SQL, Scala.
- **Bases de Datos y Almacenamiento**: MSSQL, Redshift, Snowflake, Delta Lake, Azure.
- **Plataformas Cloud**: Azure Data Factory, AWS Lambda, Google Cloud Dataflow.
- **Big Data**: Apache Spark, Hadoop, Kafka (procesamiento en tiempo real).
- **Metodologías**: CI/CD, TDD, Pruebas de Calidad de Datos y Monitoreo, Validación Automática de Datos.
**Experiência Deseada**:
- Experiência sólida en herramientas de orquestación, automatización de pipelines de datos y procesamiento en tiempo real en entornos cloud.
- Conocimiento avanzado en la optimización de pipelines ETL, asegurando flujos de datos eficientes y manteniendo la calidad de los datos.
- Experiência práctica con plataformas cloud (Azure, AWS, GCP), tecnologías de Big Data (Spark, Hadoop, Kafka) y procesamiento de datos en tiempo real.
- Experiência en la integración de validaciones automáticas de calidad de datos y monitoreo en los pipelines de datos.
**Requisitos**:
- Título universitario en Ciencias de la Computación, Ingeniería o un área relacionada, o experiência equivalente.
- Experiência comprobada como Ingeniero/a de Datos, con un enfoque fuerte en la construcción de pipelines de datos escalables y optimizados en entornos cloud.
- Capacidad para colaborar eficazmente con equipos multidisciplinarios, incluyendo Ciencia de Datos y Arquitectura de Datos, para comprender y satisfacer las necesidades de datos del negocio.
**Por qué elegir Zurich**
En Zurich, nos gusta pensar con originalidad y desafiar el statu quo. Adoptamos un enfoque optimista centrándonos en los aspectos positivos y preguntándonos constantemente ¿Qué puede salir bien?
Somos un empleador que ofrece igualdad de oportunidades y que sabe que cada colaborador es único lo que hace que nuestro equipo sea el mejor
Colabora con nosotros mientras exploramos constantemente nuevas formas de proteger a nuestros clientes y al planeta.
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