
Artificial Intelligence • Data & Analytics • SaaS
Quales Group is a data strategy and analytics firm that helps businesses become data-driven through tailored strategies and advanced analytical solutions. They develop and implement data infrastructure, create human-centric data visualizations, and leverage artificial intelligence for complex data analyses. Their offerings include automation of data processes, real-time KPI interaction through their chatbot Quallie, and a commitment to social impact by providing training in data literacy.
November 12
🗣️🇪🇸 Spanish Required

Artificial Intelligence • Data & Analytics • SaaS
Quales Group is a data strategy and analytics firm that helps businesses become data-driven through tailored strategies and advanced analytical solutions. They develop and implement data infrastructure, create human-centric data visualizations, and leverage artificial intelligence for complex data analyses. Their offerings include automation of data processes, real-time KPI interaction through their chatbot Quallie, and a commitment to social impact by providing training in data literacy.
• Diseñar y mantener arquitecturas de datos modernas (on-premise y cloud) asegurando escalabilidad, rendimiento y seguridad. • Definir estándares de modelado, calidad y gobierno de datos, promoviendo su adopción a nivel organizacional. • Liderar el diseño de pipelines de datos y flujos ETL/ELT eficientes junto al equipo de Data Engineering. • Evaluar y seleccionar tecnologías (bases de datos, orquestadores, catálogos, data lakes, data warehouses) según los objetivos del proyecto. • Colaborar con equipos de negocio para comprender necesidades analíticas y traducirlas en soluciones técnicas sostenibles. • Garantizar el cumplimiento de políticas de seguridad, privacidad y compliance de datos. • Documentar arquitecturas, flujos y decisiones técnicas, asegurando la trazabilidad de los datos. • Acompañar y mentorizar a equipos técnicos en buenas prácticas de arquitectura y gestión de datos.
• +5 años de experiencia en roles de Data Engineering, Data Architecture o similares. • Experiencia sólida en diseño y modelado de arquitecturas de datos complejas (OLTP, OLAP, Data Lakes, Data Warehouses). • Conocimiento avanzado en SQL, Python y herramientas de orquestación (Airflow, dbt, etc.). • Experiencia con clouds como AWS, Azure o GCP y servicios asociados (S3, Redshift, Snowflake, BigQuery, Synapse, etc.). • Familiaridad con prácticas de Data Governance, Data Quality y Metadata Management. • Capacidad analítica y pensamiento estratégico para alinear la arquitectura con los objetivos del negocio. • Inglés intermedio/avanzado (valorable).
• Health insurance • Flexible work arrangements • Professional development
Apply NowNovember 12
201 - 500
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