Analytics Engineer
hace 3 semanas
Como Analytics Engineer, tu responsabilidad principal será diseñar, implementar y mantener soluciones tecnológicas que posibiliten el procesamiento eficiente de datos. Para destacar en este rol, se espera que no solo comprendas la naturaleza de los datos y su utilidad, sino que también poseas habilidades tecnológicas sólidas para aplicar las mejores prácticas de ingeniería de software en el análisis de datos. En esencia, desempeñarás un papel crucial en el diseño y desarrollo de la infraestructura analítica, garantizando la disponibilidad y calidad de los datos. Esto, a su vez, respaldará las iniciativas estratégicas y facilitará la toma de decisiones basada en datos dentro de la organización.
**Requirements**:
- Ser un apasionado de los datos.
- Ser capaz de escribir consultas en SQL para resolver problemas altamente complejos de forma optimizada.
- Experiência en implementación y mantenimiento de canales de datos.
- Comprensión de las buenas prácticas de ingeniería de software (por ejemplo, documentación, pruebas automatizadas, código limpio, etc.).
- Experiência en programación con lenguajes de propósito general (por ejemplo, Python, Scala, etc.)
- Conocimiento de diferentes técnicas de arquitectura y modelado de bases de datos con fines analíticos (por ejemplo, Data Mart, Data Lake, Data Warehouse, etc.)
- Conocimiento sobre sistemas de datos distribuidos y procesamiento paralelo.
- Capacidad para abstraer conceptos de negocio en métricas cuantitativas (por ejemplo, KPI, OKR, etc.)
- Buenas habilidades de comunicación para tratar con partes interesadas de área técnicas y comerciales.
- Conocimiento en herramientas de visualización de datos como Looker, Power BI,Tableau, Metabase, etc.
**Responsibilities**:
- Liderar la excelencia en ingeniería analítica mediante la dirección y ejecución de iniciativas estratégicas centradas en datos.
- Diseñar y gestionar canales de datos altamente eficientes para procesos ETL, contribuyendo al desarrollo y mantenimiento de herramientas y canales de datos de producción (ETL).
- Desarrollar flujos de trabajo de extremo a extremo que transformen datos crudos en información procesable.
- Asegurar la calidad, coherencia y seguridad de los datos a través de rigurosas validaciones, identificando oportunidades para optimizar y estructurar la información.
- Colaborar de manera integral con equipos multifuncionales para alinear soluciones de datos con los objetivos comerciales.
- Implementar la automatización para potenciar la eficiencia y precisión en el procesamiento de datos.
- Fomentar debates fundamentados en datos tanto dentro del equipo como en todas las áreas comerciales.
- Desempeñar un papel crucial en la promoción de la alfabetización de datos en la empresa, compartiendo mejores prácticas y mejorando la documentación.
**Benefits**:
- Prestaciones de Ley
- SGMM
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