20 publicaciones de empleo destacadas de machine learning platform engineer en granada, dif (¡Están contratando!)

EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- DevOps
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
2d
Senior Software Engineer - AI I
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
5d
Lead Data Scientist
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Python
Software Development Advisor
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
4d
Principal Software Architect – Platform Integrations (with AI Focus)
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- Informática
- Seguro de vida
Sr. Software Development Engineer (Tech Lead), Devices Sales & Customer Experience
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Java
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Data Scientist
Jellyfish —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
Postulación rápida
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
Regional Sales Manager
Cloudbeds —Ciudad de México, CDMX
- Incluye fines de semana
- Home Office (Desde casa)
- Administración de personal
- Experiencia en ventas
- Salesforce
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
AWS Cloud Solutions Architect - Mexico
Mobiz —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Contratos
Postulación rápida
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
2d
Sr Data Scientist
PRGX Global, Inc —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Postulación rápida
Data Architect
Nexaminds —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Contratos
Postulación rápida
10d
Senior Java Developer
CMAS Adquirente, S. de R.L. de C.V. —Cuajimalpa, CDMX
- Oracle
- Informática
- Java
Postulación rápida
Cloud Architect
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
12d

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EY GDS Mexico - Senior Data Engineer

EY -
Miguel Hidalgo, CDMX

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Información del empleo

Cualificaciones

Power BI
Modelado de datos
Azure
Administración de personal
DevOps
Tableau
Maestría
Licenciatura
Seguridad
Ciencia de los datos

Descripción completa del empleo

Locación: Miguel Hidalgo

Otra ubicación: Solo ubicación principal

Salario: Competitiva

Fecha: 13 jun 2026

Descripción del trabajo

ID de la Requisición: 1701692

EY GDS is actively recruiting an accomplished Data Engineer to join our team. We are looking for an expert with rich experience designing, building and maintaining data products and at scale, ensuring data quality, high performance processing and serving data ready for Business Analytics and Machine Learning models.

Successful candidate will work closely with client stakeholders (business and technical) assessing their current data solutions and processes to provide insights and better practices, while implementing data solutions, bringing consultancy mindsets and demonstrating strong flexibility to adapt to different cloud platforms and tools.

As Data Engineer, you will not only collaborate with client stakeholders but also work closely with different other roles such as product owners, scrum masters, data analysts and data engineers, forming part of a multi-disciplinary team.

Responsibilities:

Design, build and maintain data products and systems for collecting, storing and processing data at scale, ensuring data quality, high performance processing and serving data ready for Business Analytics and Machine Learning models.

Collaborate with stakeholders, product owner and or/analyst to translate the client needs to actionable insights, enabling organizations to make data driven decisions through implementation.

Adhere and/or document and Implement development best practices, methodologies, techniques and technologies for ETL/ELT, near real time and real time processing as well as data serving based on the business use cases.

Ensure the quality and performance of deliverables by applying QA to the components.

Automate the integration and delivery through DevOps tools

Desired Experience:

A Minimum of 4 years of experience as Data Engineer implementing solutions on Databricks on AWS/Azure (Must).

A Minimum of 1 years of experience as Data Engineer implementing solutions on Databricks on AWS/Azure (Nice to Have)

Proven experience defining and implementing wide enterprise data solutions.

Hands-on experience implementing DataWarehouse, DataLake, Lakehouse solutions (Databricks is a must).

Hands-on experience creating report/dashboard/KPIs with any of next BI tools: PowerBI, Tableau.

Proven experience integrating data product solutions with Data Cataloging, Data Lineage and Master Data Management tools.

Proven experience implementing best practices, techniques and/or tools to ensure the quality, security and performance of the solutions.

Experience working with CI/CD strategies and tools.

Requirements:

A Bachelor's or Master's Degree in Computer software engineer, Data science or a related field.

Strong proficiency with databricks in AWS (jobs, notebooks, delta tables, unity catalog, etc.)

Strong proficiency with engineering concepts, standards, strategies and tools

Strong proficiency with Data Modeling, storage, partitioning, optimization

Strong proficiency with cloud platforms services (AWS and/or Azure).

Excellent communication skills, both written and verbal.

A consulting mindset with the capacity and enthusiasm to learn and implement new technologies.

We are looking for passionate individuals who are excited about build and implement data solutions and products and leverage the correct use of emerging technologies and frameworks. If this resonates with you, we strongly encourage you to apply.

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Quiero recibir la alerta de empleo más reciente para machine learning platform engineer en granada, dif

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