11 publicaciones de empleo destacadas de security engineer, devsecops en monterrey, nle (¡Están contratando!)

Databricks Data Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- DevOps
- Java
Full Stack Software Engineer (.NET / React)
Enroute —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Seguro de vida
Postulación rápida
Maintenance Engineer
Totum Talent —San Pedro Garza García, N. L.
- Mantenimiento
- Inglés
Manufacturing & Facilities Leader
Carrier —Santa Catarina, N. L.
- Tiempo completo
- Inglés
- Licenciatura
- Mejora continua
23h
Web Application Developer (Back-End)
Aptiv plc —Monterrey, N. L.
- Informática
- Java
- Experiencia en bases de datos
- Seguro de vida
Full Stack Software Engineer (Backend)
MSIGHTS —San Pedro Garza García, N. L.
- Tiempo completo
- Informática
- DevOps
- Inglés
Postulación rápida
Regional Sales Mgmt
Fortinet —Monterrey, N. L.
- Tiempo completo
- Liderazgo
Sr NPD Quality Engineer
Carrier —Santa Catarina, N. L.
- Tiempo completo
- Inglés
Software Supplier Manager
Aptiv plc —Monterrey, N. L.
- Administración de personal
- Informática
- Maestría
- Seguro de vida
Senior Python Developer
Endava —Monterrey, N. L.
- Tiempo completo
- Trabajo híbrido
- Azure
- Oracle
- Administración de personal
- Programa de referidos
Postulación rápida
9d
Associate Engineering, Test&Validation
Carrier —Santa Catarina, N. L.
- Tiempo completo
- Inglés
- Microsoft Office
3d

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Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
Build and evolve data architecture, including models, schemas, and dictionaries.
Integrate data from multiple sources, ensuring quality, consistency, and readiness for analytics and operations.
Apply data governance policies to ensure security, privacy, and compliance.
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.
Stay current with emerging technologies and identify opportunities to enhance data infrastructure.
Implement best practices in big data and cloud computing to ensure efficiency and scalability.

4 to 7 years of overall experience in data warehouse, data engineering, ETLs, data mapping, SQL, databases, data lakes or lakehouse
2 years of experience in Databricks, Azure Data Factory and DevOps/CICD automation.
Strong knowledge of Azure services: ADLS Gen2, Synapse, SQL Server, ADF, Databricks.
Proficiency in Spark and PySpark for distributed data processing.
Solid programming skills in Python for scripting and automation.
Understanding of data warehousing and relational modeling.
Familiarity with compiled languages (Java, Scala) and scripting languages (SQL, R).
Excellent communication, problem-solving, and collaboration skills.
Growth mindset with a passion for continuous learning and improvement.
Experience working in Agile/Scrum teams using tools like JIRA, Teams, and Mural.
Knowledge of performance tuning, capacity planning, and production support models.