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Nexo Laboral Head Hunting busca un Senior DataOps Engineer

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Findjobit       |    Location:México       |    Country:México

Buscamos un DataOps Senior para liderar operaciones de datos en el sector financiero. El rol requiere experiencia en la gestión de data lakes , automatización, gobierno de datos y cumplimiento regulatorio. Trabajo Remoto con un día a la semana presencial (México - Monterrey). Pago en dólares en modalidad contractor.

Responsabilidades Principales: 1- Arquitectura & Implementación Diseñar e implementar pipelines de datos utilizando AWS DMS y Glue . Desarrollar arquitectura de lagos de datos cumpliendo normativas ( CNBV, WAS, CIS ). Implementar controles de seguridad con AWS KMS y Macie . Crear procesos ETL/ELT escalables.

2- Gobierno & Cumplimiento Implementar políticas de gobierno de datos con AWS DataZone . Gestionar accesos y seguridad en entornos multi-cuenta. Diseñar estrategias de retención y archivado de datos. Implementar controles de auditoría y compliance.

3- Liderazgo Técnico Brindar mentoría a perfiles DataOps Mid y Junior . Definir mejores prácticas y estándares operativos. Coordinar con equipos de arquitectura y seguridad. Gestionar incidentes críticos.

Competencias Clave Técnicas: ETL/ELT Enterprise DataOps Gobierno de Datos Seguridad y Cumplimiento Metodológicas: CI/CD para datos Frameworks DataOps Gestión Ágil de Datos Gestión de Riesgos Certificaciones Requeridas AWS Solutions Architect Professional AWS Data Analytics Specialty o Data Engineer Expertise Técnico: Gestión y Orquestación de Datos: AWS DMS: Diseño y Migraciones complejas. AWS Glue: Workflows ETL/ELT a nivel empresarial. Apache Airflow / AWS Step Functions: Orquestación de pipelines. Gobierno y Seguridad: Lake Formation: Implementación de políticas de seguridad y gobierno.

AWS DataZone: Catalogación y gobernanza. AWS KMS & Macie: Seguridad y (DLP). IAM & AWS Organizations: Accesos y multi-cuenta. CloudTrail & CloudWatch: Monitoreo, auditoría y cumplimiento normativo.

Herramientas y Lenguajes: Python & PySpark: Desarrollo, transformación y optimización de jobs ETL. SQL: Optimización y tuning. Terraform/CloudFormation: Infraestructura como código y automatización empresarial. Git: Preferible GitHub.

Shell Scripting: Automatización. Gestión de Costos y Almacenamiento: Amazon S3: Optimización de costos y estrategias de ciclo de vida. AWS Redshift: Diseño dimensional y optimización de rendimiento. ..

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