20 publicaciones de empleo destacadas de data warehouse engineer en mexico (¡Están contratando!)

Senior Data Engineer, Risk Technology
Lab49 —City, Hgo.
- Tiempo completo
- Microsoft Excel
- Inglés
- Servicios financieros
#120463 - Senior Data Engineer
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- SQL
- Python
Postulación rápida
10d
Senior Data Engineer & Cloud (AWS)
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
4d
Customer Solutions
McMaster-Carr —Los Ángeles, CDMX
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Engineer
PALO IT —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida
Data Engineer with Snowflake and dbt, Analytics Platform
DataArt —Monterrey, N. L.
- Azure
- Administración de personal
- Experiencia en bases de datos
5d
Support Software Engineer, Senior
Infor —Ciudad de México, CDMX
- Administración de personal
- ERP systems
- Análisis de datos
Warehouse Process Specialist (MPH)
Schneider Electric —Querétaro, Qro.
- Tiempo completo
- ERP systems
- Inglés
11d
Especialista en Ingeniería de Datos Azure
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $80,000 por mes
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
2d
Manufacturing Engineer
Regal Rexnord —San Luis Potosí, S. L. P.
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Automation Specialist
Coca-Cola —Tlaxcala, Tlax.
- Tiempo completo
- Administración de personal
- Mantenimiento
- SQL
8d
Principal Engineer - Data Infrastructure
Sezzle —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
Data Engineer BigQuery Sr | GCP & Datos
Corus Consulting —Desde casa
- Correo electrónico
- Home Office (Desde casa)
- Informática
- Ingeniería
- SQL
- Seguro de gastos médicos
Postulación rápida
Data Engineer
RailPros —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Azure
- Informática
Postulación rápida
Maintenance Area Manager, Reliability Maintenance Engineering
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44 —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
13d
Senior Data Engineer | Snowflake | PySpark | AWS
Enroute —Dinastía, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
- Seguro de vida
Postulación rápida
Data Engineer
NEXU —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Engineer, Warehouse Management System
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Informática
Postulación rápida
10d
VP, Data & Analytics
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Manager Ops - Leon
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —México, Gro.
- Incluye fines de semana
- Microsoft Excel
- Administración de personal
- Inglés

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Senior Data Engineer, Risk Technology

Lab49 -
City, Hgo.

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Información del empleo

Tiempo completo

Cualificaciones

Microsoft Excel
Ingeniería de software
Inglés
Servicios financieros
Python
Debugging

Descripción completa del empleo

Mexico City

Lab49 – Software Engineering /

Full-time (hybrid) /

Hybrid

apply for this job

Lab49 is seeking a skilled and experienced Mexico City-based Senior Data Engineer to join our innovative team. The ideal candidate will possess expertise in data engineering technologies, experience with market and credit counterparty risk platforms , and a solid understanding of the financial services sector. If you thrive in a collaborative, agile environment and excel at building scalable, high-performance data platforms, we’d love to hear from you.

Responsibilities:

Analyze, design, code, test, configure, and modify software for the functional delivery of platforms and solutions using programming languages and development methodologies.
Design, develop, test, debug, and implement platforms, solutions, software tools, and utilities to ensure acceptable performance and service levels.
Build and manage automated delivery pipelines for platforms and solutions using source control, infrastructure as code, and continuous integration practices.
Implement monitoring, alerting, logging, and tracing to ensure the durability, availability, and performance of platforms and solutions.
Collaborate with the Data Warehouse Architect to ensure successful platform strategies.
Design and optimize scalable data pipelines using technologies like Airflow, Snowflake, and AWS cloud services.
Work closely with stakeholders to ensure platforms meet both business and technical requirements.
Produce technical documentation, including testing, training, and delivery artifacts.

Requirements:

8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards.
Advanced proficiency in Python.
Strong experience with AWS, Airflow, and Snowflake.
Comfortable working in an agile delivery environment.
Self-sufficient in a CI/CD environment, with hands-on experience automating deployments.
Proven ability to contribute as an individual, including reviewing pull requests and ensuring quality code.
Experience troubleshooting and debugging simple to complex issues.
Strong interpersonal and organizational skills, with the ability to work collaboratively.
Excellent command of spoken and written English (C1+)

Desired skills:

Proven experience with market and credit counterparty risk platforms

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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