Mid-senior Data Engineer
hace 6 meses
**Sobre nosotros**:
En ORBIDI buscamos a apasionados por la tecnología y el marketing para unirse a nuestro equipo y ayudar a las pequeñas empresas a crecer y mantenerse competitivas en el mercado.
Utilizamos inteligencia artificial, modelos predictivos y tecnologías avanzadas para ayudar a las PYMEs a digitalizarse y mejorar sus resultados. Únete a nuestra misión de ayudar a las empresas a impulsar el éxito
**El rol**:
**¿Cuál será tu misión?**
- Diseñar, construir y gestionar pipelines de datos utilizando tecnologías como DBT, Snowflake y AWS(EKS, Lambda, S3, AWSBatch).
- Implementar y optimizar procesos de orquestación de datos con herramientas como Airflow o Dagster.
- Asegurar la disponibilidad, integridad y precisión de las fuentes de datos para las partes interesadas.
- Proponer e implementar nuevas metodologías para la orquestación y observabilidad de datos, optimizando los pipelines existentes.
- Trabajar de forma autónoma en la toma de decisiones técnicas y de arquitectura, sin la necesidad de supervisión directa.
- Proporcionar liderazgo técnico, proponiendo nuevas ideas y estrategias para mejorar la eficiencia y efectividad de los procesos de datos.
- Priorizar tareas y proyectos de forma autónoma, comunicando proactivamente el progreso y los desafíos a las partes interesadas.
- Adaptarse cómodamente a los cambios de prioridades en un entorno dinámico y de rápido movimiento.
- Fomentar un ambiente de colaboración, trabajando en equipo y proporcionando mentoría a otros miembros del equipo en mejores prácticas de gestión de datos.
**Lo que te hará triunfar**:
- Título en Ciencias de la Computación, Ingeniería de Sistemas, o experiência previa relacionada.
- Fuerte conocimiento en SQL.
- Conocimientos en herramientas de CI/CD, git, github.
- Modelado y transformación de datos con SQL.
- Fuerte conocimiento en Python.
- Experiência comprobable en arquitectura de datos Batch.
- Diseño, implementación y orquestación de Pipelines y proceso de ELT, ETL.
**Se valorará positivamente**:
- Experiência previa en startups.
- Conocimientos en Visualización de Datos con Power BI.
- Buenas habilidades de comunicación, tanto escrita como verbal.
- Experiência en transferencia de datos Streaming
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