Data Engineer Associate: Expert in Data Pipelines
hace 3 semanas
Scotiabank es una unidad de negocio con más de 150 años de experiencia en el sector financiero. Nuestra empresa se compromete a invertir en nuestros colaboradores y ayudarles a continuar su carrera profesional.
Nuestro objetivo es contribuir al éxito general del desarrollo de activos críticos de datos/modelos de datos que sirven a la Inteligencia Analítica Internacional de Banca. El Ingeniero de Datos será responsable de diseñar e implementar tuberías de datos y bases de datos para ser consumidas por aplicaciones de inteligencia empresarial y análisis avanzados. Asegura que todas las actividades realizadas se sigan los reglamentos gubernamentales, políticas internas y procedimientos.
Lidera una cultura enfocada en el cliente para profundizar las relaciones con los clientes y aprovechar las relaciones bancarias más amplias, sistemas y conocimientos. Funciona como miembro de un equipo ágil y ayuda a impulsar prácticas de desarrollo consistentes, uso de herramientas, componentes comunes y patrones. Colabora con equipos analíticos y comerciales para crear y mejorar modelos de datos que alimentan herramientas de inteligencia empresarial, aumentando la accesibilidad de los datos y fomentando toma de decisiones basada en datos dentro de la organización. Dirige la identificación y recomendación de soluciones adecuadas. Realiza diseño y desarrollo manual con PySpark/Pandas/SQL, archivos Parquet, experiencia en almacenamiento de objetos y Airflow programación / orquestación Pasa una cantidad significativa de tiempo escribiendo código y probándolo. Trabajo con el equipo para optimizar la ejecución del código. Tener habilidades con modelado dimensional y procesos devops Entender cómo la apetencia de riesgo de la banca y la cultura de riesgo deben considerarse en actividades diarias y decisiones. Busque eficazmente y operativamente sus respectivas áreas según con los valores de Scotiabank, su Código de Conducta y los Principios Globales de Ventas, asegurando la suficiencia, adherencia y efectividad de controles comerciales cotidianos para cumplir obligaciones con respecto al riesgo operativo, riesgo de compliance, riesgo de lavado de dinero/financiamiento del terrorismo/sanciones y riesgo de conducta. Lidera un entorno de alto rendimiento y contribuye a un ambiente de trabajo inclusivo. Experiencia laboral
Tener 2-5+ años de experiencia trabajando como ingeniero de datos o analista técnico comercial. Licenciatura en ciencias de la computación, ingeniería u otra carrera relacionada o experiencia relevante. Profundidad sólida en SQL, Python y Spark Actividad previa con Big Data y tecnologías de nube (Hadoop, MinIO,Presto/Trino, Hub Juipter, AirFlow) Desarrollo API experiencia Experiencia trabajando en Retail/Risk Banco Dominió es un activo Experimentar en un equipo agil Enfocado data modellling y almacenamiento experiencia Será un plus Pruficiente con bases de datos relacionales (Oracle, DB2, Redshift, etc.) Profundidad con JSON, Hadoop y Hive estructura de datos Condición laboral Trabajar en un entorno estandarizado basado en oficina; horas no estándar son una ocurrencia común. Ubicación(s): Colombia : Bogota : Bogota ScotiaTech es una unidad de negocio de ScotiaGBS, un grupo de empresas de Scotiabank, ubicado en Bogotá, Colombia. ScotiaTech fue creado para apoyar diversos sistemas y procesos tecnológicos del Banco. Ofrecemos un entorno de trabajo inclusivo y positivo, además de ventajas competitivas. En ScotiaTech, valoramos las habilidades y experiencias únicas que cada persona aporta y nos hemos comprometido a crear y mantener un entorno inclusivo y accesible para todos. Los candidatos deben postularse directamente en línea si desean ser tomados en cuenta para este puesto. Agradecemos a todos los candidatos por su interés en esta oportunidad profesional en ScotiaTech; sin embargo, solo contactaremos a quienes hayan sido seleccionados para una entrevista.
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