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Data Engineer Semi Senior

Role overview

Qualifications

  • Solid experience in Google Cloud Platform ecosystem
  • Ability to design, develop and maintain robust data pipelines
  • Passion for transforming data into strategic assets
  • Enjoy solving complex technical challenges in cloud environments

Responsibilities

  • Design, develop and maintain reliable and scalable data pipelines using Google Cloud Platform tools
  • Integrate various data sources by consuming and exposing REST APIs, ensuring correct ingestion and availability of information
  • Manage and transform data in the cloud using BigQuery, Dataform and Cloud Storage, ensuring consistency, quality and performance
  • Implement messaging flows and real-time event processing through Pub/Sub, coordinating orchestration between services

Key facts

Other skills

  • Collaboration
  • Problem Solving

About the company

Ready logo

Ready

Marketing & Advertising

Ready is a platform that connects companies with the top 1% of Latin America's freelance digital talent. It focuses on quickly matching vetted freelancers in software development, product management, UX/UI and research, QA, and related digital roles so teams can expand flexibly and securely.

Company details

IndustryMarketing & Advertising
Company size11-50

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Job description

Buscamos un Data Engineer con sólida experiencia en el ecosistema de Google Cloud Platform, capaz de diseñar, desarrollar y mantener pipelines de datos robustos y escalables. El rol implica trabajar en proyectos de implementación donde la calidad, trazabilidad y eficiencia del dato son prioridad. Si te apasiona transformar datos en activos estratégicos y disfrutas resolver desafíos técnicos complejos en entornos cloud, esta oportunidad es para ti.

Responsabilidades principales

  • Diseñar, desarrollar y mantener pipelines de datos confiables y escalables utilizando las herramientas del ecosistema Google Cloud Platform.

  • Integrar diversas fuentes de datos mediante el consumo y exposición de APIs REST, garantizando la correcta ingestión y disponibilidad de la información.

  • Gestionar y transformar datos en la nube utilizando BigQuery, Dataform y Cloud Storage, asegurando consistencia, calidad y rendimiento en cada capa del modelo de datos.

  • Implementar flujos de mensajería y procesamiento de eventos en tiempo real a través de Pub/Sub, coordinando la orquestación entre servicios.

  • Documentar los procesos, arquitecturas de datos y decisiones técnicas para garantizar la mantenibilidad y transferencia de conocimiento en el equipo.

  • Colaborar con equipos de Analytics, Ingeniería y Producto para comprender los requerimientos de negocio y traducirlos en soluciones de datos eficientes.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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