Data architect
hace 2 semanas
AZKAIT es una empresa Mexicana que busca y conecta el mejor talento IT con empresas Latinoamericanas y de Estados Unidos.
Estamos en la búsqueda de tu talento como Data architect.
Actividades a realizar:
- Gestionar la plataforma Databricks, usuarios, proyectos y salud de los Clusters utilizados, así como buenas prácticas de ejecuciones sobre Azure Databricks.
- Definir arquitecturas para proyectos de volúmenes de datos grandes (Big Data) con apoyo de equipos nacionales e internacionales, apegándose a las mejores prácticas y estándares definidos por las áreas de datos, así como con las herramientas tecnológicas utilizadas dentro del grupo y que se adecuen a la necesidad de cada proyecto a fin de contemplar la reutilización de la arquitectura por otras iniciativas.
- Trabajar en conjunto con las áreas de Ingeniería, Gobierno de datos, Ciencia de Datos y Representantes de Áreas de negocio a fin de definir en conjunto soluciones en términos de componentes, módulos, algoritmos, modelos y alternativas a soluciones existentes que se adecuen a las exigencias de cada proyecto por medio de metodologías ágiles
Requisitos:
- Experiencia con herramientas Big Data y Databricks.
- Ecosistemas de Big Data.
- Buena comunicación para trato con clientes de alto nivel.
- Inglés hablado y escrito (Comunicación semanal con equipos internacionales)
- Capacidad para canalizar los datos, vengan estos de fuentes internas o externas.
- Diseñar tratamientos de la información sin importar si son procesos en tiempo diferido o procesos en tiempo real.
- Modelado de datos.
- Conocimiento avanzado de PL/SQL.
- Experiencia en desarrollo de ETLs.
- Experiencia en desarrollo de software en algún lenguaje como Java, Python o algún otro Orientado a Objetos.
- Capacidad para diseñar y estructurar bases de datos SQL y NoSQL.
- Capacidad para trabajar en equipo.
- Experiencia avanzada de SPARK ya sea con Scala, Java o Python.
- Gestión de plataforma de databricks.
- GCP.
Herramientas:
- Hadoop {HIVE, Sqoop, Kafka}.
- Azure Databricks y Data Lake Storage.
- SPARK (Scala, Java, Python).
- RDBMS: Microsoft SQL Server [Deseable], Azure SQL Server [Deseable], Oracle (deseable), etc.
- Java.
- Python.
- PL/SQL.
- Herramienta orquestadora de flujos de trabajo (por ejemplo: Automic, Informatica, Control M, Airflow [Deseable], etc).
- Aceleradores de consulta de datos (Deseable).
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