Data Engineer

4 weeks ago


Delhi, India Layer7 SAPI de CV Full time
Job DescriptionThis is a remote position.

• Diseñar, crear y mantener canalizaciones de datos por lotes o en tiempo real en producción.

• Mantener y optimizar la infraestructura de datos necesaria para una extracción, transformación y carga precisas de datos de una amplia variedad de fuentes de datos.

• Construir y mantener pipelines.

• Desarrollar procesos ETL (extracción, transformación, carga) para ayudar a extraer y manipular datos de múltiples fuentes.

• Ayuda a diseñar y mantener una capa semántica.

• Automatizar los flujos de trabajo de datos, como la ingesta, agregación y procesamiento ETL de datos.

• Preparar datos sin procesar en almacenes de datos en un conjunto de datos consumibles para partes interesadas tanto técnicas como no técnicas.

• Asociarse con científicos y analistas de datos para implementar modelos de datos y aprendizaje automático en producción.

• Garantizar la precisión, integridad, privacidad, seguridad y cumplimiento de los datos a través de procedimientos de control de calidad.

• Monitorear el desempeño de los sistemas de datos e implementar estrategias de optimización.

• Aprovechar los controles de datos para mantener la privacidad, la seguridad, el cumplimiento y la calidad de los datos para las áreas de propiedad asignadas.

Requirements

• Licenciatura/Maestría en Ciencias de la Computación, Sistemas de Información o un campo relacionado.

• Conocimiento en conceptos de DW/DL, data marts, modelado de datos, ETL/ELT, calidad/administración de datos, sistemas distribuidos y gestión de metadatos.

• Mínimo 7 años de experiencia en ingeniería de datos, idealmente en entornos de nube y buen conocimiento de microservicios y API.

• Amplia experiencia en el diseño y construcción de modelos ETL y flujos de trabajo de datos.

• Conocimiento práctico en el diseño e implementación de una capa semántica de BI.

• Base sólida en estructuras de datos, algoritmos y diseño de software.

• Habilidades avanzadas de SQL y experiencia con bases de datos relacionales y diseño de bases de datos.

• Experiencia trabajando con BigQuery Cloud Data Warehouse y herramientas de big data como Databricks,Hadoop, Spark, Kafla etc.

• Conocimiento práctico en lenguajes orientados a objetos (por ejemplo, Python, Java).

• Gran dominio de las herramientas de gestión de flujo de trabajo y canalización de datos (p. ej., Airflow).

• Fuertes habilidades organizativas y de gestión de proyectos.

• Excelentes habilidades de resolución de problemas, comunicación y organización.

• Capacidad demostrada para trabajar de forma independiente y en equipo.• Excelentes relaciones interpersonales• Pensamiento críticoBenefits

Trabajo 100% remotoSueldo competitivoPrestaciones de leyPrestaciones SuperioresLaptop y herramientas de trabajoRequirements• Licenciatura/Maestría en Ciencias de la Computación, Sistemas de Información o un campo relacionado. • Conocimiento en conceptos de DW/DL, data marts, modelado de datos, ETL/ELT, calidad/administración de datos, sistemas distribuidos y gestión de metadatos. • Mínimo 7 años de experiencia en ingeniería de datos, idealmente en entornos de nube y buen conocimiento de microservicios y API. • Amplia experiencia en el diseño y construcción de modelos ETL y flujos de trabajo de datos. • Conocimiento práctico en el diseño e implementación de una capa semántica de BI. • Base sólida en estructuras de datos, algoritmos y diseño de software. • Habilidades avanzadas de SQL y experiencia con bases de datos relacionales y diseño de bases de datos. • Experiencia trabajando con BigQuery Cloud Data Warehouse y herramientas de big data como Databricks,Hadoop, Spark, Kafla etc. • Conocimiento práctico en lenguajes orientados a objetos (por ejemplo, Python, Java). • Gran dominio de las herramientas de gestión de flujo de trabajo y canalización de datos (p. ej., Airflow). • Fuertes habilidades organizativas y de gestión de proyectos. • Excelentes habilidades de resolución de problemas, comunicación y organización. • Capacidad demostrada para trabajar de forma independiente y en equipo.

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