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Urgent! Data Engineer Senior Job Opening In Santiago de Chile – Now Hiring CodersLab

Data Engineer Senior



Job description

En nos encontramos en una etapa de expansión y transformación de nuestra plataforma de datos.

Buscamos un Data Engineer Senior para unirse a nuestro equipo de Data Product Support asignado al proyecto Data Operativa BFPE-Datalake 2.0. El profesional trabajará dentro de una organización global con más de 3,000 empleados, colaborando con equipos de producto, analítica, tecnología y negocio para diseñar soluciones de datos robustas que impulsen decisiones basadas en datos.

Job source:

Funciones y responsabilidades

  • Diseñar, desarrollar y mantener pipelines de datos eficientes y escalables utilizando Apache Airflow sobre Google Cloud Platform (GCP).

  • Modelar nuevas estructuras de datos en BigQuery, alineadas con requerimientos del negocio y evolución del Data Lake institucional.

  • Implementar procesos de ingesta, transformación y validación de datos desde diversas fuentes, asegurando calidad y trazabilidad.

  • Colaborar con equipos de producto, analítica, tecnología y negocio para traducir necesidades funcionales en soluciones técnicas robustas.

  • Monitorear y optimizar el rendimiento de ETL/ELT, aplicando buenas prácticas de ingeniería de datos.

  • Documentar soluciones técnicas, flujos de trabajo y estructuras de datos usando Confluence, asegurando trazabilidad y acceso colaborativo.

  • Utilizar GitLab para control de versiones, gestión de código fuente y automatización de despliegues.

  • Participar activamente en equipos ágiles, aplicando Scrum y contribuyendo en dailies, sprint planning y retros.

  • Apoyar en la resolución de incidencias y en la mejora continua de productos de datos existentes.

  • Contribuir a la evolución de la arquitectura de datos del banco, proponiendo mejoras y nuevas soluciones.

Requisitos y perfil deseado


Habilidades/Conocimientos obligatorios:

  • Experiencia diseñando, desarrollando y manteniendo pipelines de datos con Apache Airflow en Google Cloud Platform (GCP).

  • Modelado de estructuras de datos en BigQuery, orientado a entornos financieros y evolución de Data Lake.

  • Experiencia en ingesta, transformación y validación de datos desde múltiples fuentes, con foco en calidad y trazabilidad.

  • Colaboración con múltiples squads y áreas para traducir necesidades en soluciones técnicas sólidas.

  • Monitoreo y optimización de rendimiento de procesos ETL/ELT; buenas prácticas de ingeniería de datos.

  • Documentación técnica en Confluence; uso de GitLab para control de versiones y despliegues.

  • Participación en equipos ágiles (Scrum); gestión de incidencias y mejora continua.

  • Contribución a la evolución de la arquitectura de datos para decisiones basadas en datos.

Formación y experiencia:

  • Licenciatura en Ciencias de la Computación, Ingeniería en Sistemas o campos afines; 5+ años de experiencia en Data Engineering.

  • Certificaciones en GCP, Airflow o BigQuery serán valoradas.

  • Comunicación efectiva en español; capacidad para trabajar en entornos multiculturales y con equipos remotos.

Deseables


Experiencia en entornos bancarios o fintech, conocimiento de gestión de metadatos, Data Governance y seguridad de datos.

Habilidad para mentoría técnica y liderazgo de iniciativas de datos.

Capacidad para priorizar tareas y gestionar múltiples stakeholders.

Enfoque en soluciones escalables y orientadas a resultados, con pensamiento analítico y atención al detalle.

Beneficios


Además de un equipo internacional con acceso a tecnologías de punta, ofrecemos oportunidades de desarrollo profesional, capacitación continua, y un entorno de trabajo colaborativo en el que la diversidad y el talento se valoran.

GETONBRD Job ID: 56551

Remote work policy


Hybrid

This job is performed partly from home and partly at the office in Santiago (Chile).


Required Skill Profession

Other General



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