Data Engineer
hace 3 meses
Buscamos un ingeniero de datos para crear y mantener sistemas de datos y garantizar que cada conjunto de datos sea fácil de analizar. Una gran parte de la función también girará en torno a la mejora de la calidad y la eficiencia de los datos.
En nuestra empresa, valoramos el talento y la diversidad de experiencias. Queremos asegurarnos de que todos tengan la oportunidad de postularse para este empleo. Si no cumples con todos los requisitos enumerados a continuación, no te preocupes No consideramos que estos criterios sean excluyentes y estamos interesados en conocer tu experiencia y habilidades únicas. Anímate a postularte Estamos ansiosos por conocerte y descubrir cómo puedes contribuir al éxito de nuestro equipo.
Responsabilidades Funciones:
Acceder a los orígenes de los datos.
Transformarlos, enrutarlos y entender el proceso ETL.
Configurar y mantener infraestructuras.
Crear producto final, APIs, servicios y su despliegue.
Seguridad informática, mantenimiento, escalabilidad y rendimientos.
Colaborar con el equipo para definir los requisitos de cada tarea.
Analizar, combinar y preparar datos brutos de acuerdo con los requisitos empresariales y las especificaciones de diseño.
Diseñar y crear canalizaciones de datos y procesos ETL.
Reformular los marcos existentes para mejorar la calidad y fiabilidad de los datos.
Realizar análisis de datos complejos y generar reportes estándar, así como reportes ad hoc.
Colaborar con los científicos de datos cuando sea necesario.
Documentar todos los procesos y reportes.
Aplique métodos y sistemas de supervisión de la calidad de los datos para garantizar que los datos de producción sean siempre exactos y estén disponibles para las principales partes interesadas y los procesos empresariales que dependen de ellos.
Desarrollar un plan de arquitectura de la plataforma de datos a largo plazo en colaboración con todas las divisiones empresariales y los equipos de ingeniería.
Requisitos:
Licenciatura en Ingeniería de Datos, Ingeniería Informática o campo relacionado.
Experiencia demostrada como Ingeniero de Datos o similar.
Experiencia con herramientas ETL y de datos estándar del sector como AWS Glue, Kinesis, Power BI, Pentaho, Clover, SSRS.
Experiencia con bases de datos relacionales y no relacionales (Postgres, MySQL, MSSQL, etc.).
Experiencia práctica en lenguajes como Python, Java, Scala, GoLang, shell scripting, etc.
Familiaridad con marcos de procesamiento de datos como Spark, Hadoop, etc.
Excelente capacidad analítica y de resolución de problemas.
Herramientas que debe manejar:
Big Data: Spark, Kafka, etc.
Base de datos: SQL, NoSQL.
Gestión de flujo de trabajo: AirFlow, Git.
Cloud: AWS, Azure, GCP.
Procesamiento en tiempo real streaming: Storm, Spark-Streaming, etc.
Lenguajes: Python, Java, Scala, etc.
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