20 publicaciones de empleo destacadas en cloud engineer (innovation & analytics) (¡Están contratando!)

Analytics Engineer
DataArt —Monterrey, N. L.
- Análisis de datos
- Inglés
- SQL
9h
Senior Software Engineer
Teradata —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- Maestría
Postulación rápida
3h
Jr EHS Engineer
Vertiv —Reynosa, Tamps.
- Correo electrónico
- Inglés
- Licenciatura
- Mejora continua
Engineering and Quality - Full Stack Engineer
Fitch Group —Monterrey, N. L.
- Administración de personal
- Informática
- Java
- Permiso de maternidad y paternidad
Software Engineer, Platform - Monterrey, Mexico
Speechify —Monterrey, N. L.
- Home Office (Desde casa)
- Azure
- Doctorado
10d
Global Quality Sr. System Engineer
Vertiv —Santa Catarina, N. L.
- Correo electrónico
- Oracle
- Informática
- Disponibilidad para viajar hasta un 50 %
Senior Data Engineer
JLL Engineering Services, MEX —Jalisco, Jal.
- Tiempo completo
- Azure
- Informática
- Maestría
Postulación rápida
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Sr. Electrical Design Engineer.
Vertiv —Santa Catarina, N. L.
- Administración de personal
- Diagramas
- Licenciatura
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
6d
Platform Engineer – Application Virtualization Administrator
VASS Mexico —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Mantenimiento
- Descuento de gimnasio
Engineer – Senior Platform Automation Specialist
Cummins Inc. —Guadalajara, Jal.
- Azure
- Microsoft Outlook
- Administración de personal
Engineering and Quality - Lead Data Engineer
Fitch Group —Monterrey, N. L.
- Administración de personal
- DevOps
- SQL
- Permiso de maternidad y paternidad
Advanced Manufacturing Engineer
Vertiv —Reynosa, Tamps.
- Correo electrónico
- Administración de personal
- Maestría
- Mejora continua
Critical Environment Operations
Microsoft —Querétaro, Qro.
- Turno de 12 horas
- Azure
- Inglés
- Microsoft Office
Data Engineer
Harman International —Querétaro, Qro.
- Azure
- Informática
- Inglés
- Descuento de empleados
Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- Experiencia en bases de datos
AME-End of Line Deployment Engineer
Vertiv —Reynosa, Tamps.
- Correo electrónico
- Bilingüe
- AutoCAD
- CAD
Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Scrum Master
UST —Ciudad de México, CDMX
- Microsoft Powerpoint
- Azure
- Administración de personal
- Seguro de vida
Postulación rápida
7d

Quiero recibir la alerta de empleo más reciente para cloud engineer (innovation & analytics)

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Analytics Engineer

DataArt -
Monterrey, N. L.

Postúlate ahora

Información del empleo

Hace 9 horas

Cualificaciones

Looker
Modelado de datos
Análisis de datos
Git
Inglés
Google Cloud Platform
SQL
Usabilidad
Requisitos comerciales
Python

Descripción completa del empleo

Client: Our client is a leading airline in Latin America, committed to innovation and delivering seamless customer experiences through cutting edge digital platforms.
Project overview: The Data and Analytics organization plays a critical role in enabling data driven decisions across the company, ensuring information flows efficiently from its generation to its consumption. The team designs and maintains scalable data pipelines and models that power analytical use cases, operational systems, and digital products across LATAM. Operating in a Google Cloud Platform (GCP) environment, the team works with tools such as BigQuery, Dataform, Python, APIs, and Terraform, following Agile and DataOps best practices to ensure reliability, scalability, and business impact.

Position overview: We are looking for an Analytics Engineer with a strong foundation in data modeling and a clear understanding of the data lifecycle, with a focus on enabling business teams to build and operate their own data products.
The ideal candidate combines technical expertise with business understanding, capable of translating analytical needs into scalable, well-structured, and governed data models. This role is not only hands on, but also acts as a mentor and guide, helping teams adopt best practices in analytics engineering, data governance, and data usage. The candidate acts as a connector between data engineering, analytics, and business domains, supporting the organization in evolving toward a scalable self-service data model.

Responsibilities: Design, build, and maintain scalable data models that support analytical and business use cases.
Understand the current “as is” state of data models and analytical needs, identifying gaps, inconsistencies, and improvement opportunities.
Define and promote best practices in data modeling, documentation, data quality, and governance across teams.
Translate business requirements into clear and reusable data models, collaborating closely with multidisciplinary teams (product, analytics, technology, and business).
Support and mentor teams in the correct use of tools and frameworks such as Dataform, BigQuery, Git, and CI/CD workflows.
Ensure consistency and alignment of business metrics and KPIs across domains.
Collaborate with Data Engineers to ensure upstream data availability, integrity, and usability.
Enable data consumption through BI tools and support self service analytics initiatives.
Participate in code reviews and design reviews, ensuring adherence to standards and best practices.
Contribute to the definition of reusable templates, guidelines, and scalable data solutions.
Promote data governance and literacy, encouraging data informed decision making across teams.
Actively participate in data project prioritization and planning, balancing business impact and scalability.

3 years of proven experience in Analytics Engineering, Data Analytics, or similar roles.
Proficiency in SQL and BigQuery.
Experience working with Dataform or similar data modeling frameworks (e.g., dbt).
Strong understanding of data modeling concepts (dimensional modeling, data marts, metrics definition).
Experience working with BI tools (e.g., Looker).
Proficiency in Python for data analysis and exploration.
Familiarity with GIT and CI/CD concepts.
Understanding of data governance, data quality, and documentation practices.
Ability to communicate effectively with both technical and non technical stakeholders.
Experience working in Agile environments, participating in sprints and cross functional collaboration.
Fluency in Spanish (team language) and intermediate English for documentation and international collaboration.

Postúlate ahora

Refina tu búsqueda

cloud engineer (innovation & analytics) empleos

Analytics Engineer

Senior Software Engineer

Jr EHS Engineer

Engineering and Quality - Full Stack Engineer

Software Engineer, Platform - Monterrey, Mexico

Global Quality Sr. System Engineer

Senior Data Engineer

la26.042 - Data Engineer

Sr. Electrical Design Engineer.

Senior Data Engineer

Platform Engineer – Application Virtualization Administrator

Engineer – Senior Platform Automation Specialist

Engineering and Quality - Lead Data Engineer

Advanced Manufacturing Engineer

Critical Environment Operations

Data Engineer

Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City

AME-End of Line Deployment Engineer

Principal Data Engineer

Scrum Master

Quiero recibir la alerta de empleo más reciente para cloud engineer (innovation & analytics)

Related Searches

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado