9 publicaciones de empleo destacadas de integration lead en monterrey, nle (¡Están contratando!)

Data Engineer with Analytics
DataArt —Monterrey, N. L.
- Inglés
- SQL
- Mejora continua
Senior Software Engineer
Trellint —Monterrey, N. L.
- Tiempo completo
- Oracle
- Java
- Experiencia en bases de datos
Sr. Software Engineer (Python / Django / AWS)
Kuona —Monterrey, N. L.
- Administración de personal
- Informática
- Inglés
- Seguro de vida
Software Engineer
Trellint —Monterrey, N. L.
- Tiempo completo
- Oracle
- Java
- Experiencia en bases de datos
Hardware Design Engineer
Clarios —San Pedro Garza García, N. L.
- Tiempo completo
Controls Product Engineer
KION Group AG —Guadalupe, N. L.
- Tiempo completo
- Disponibilidad para viajar hasta un 50 %
- Inglés
- C++
SAP Senior Developer
KION Group AG —Guadalupe, N. L.
- Tiempo completo
- Administración de personal
- ERP systems
- Inglés
QA Engineer
Surt AI —Monterrey, N. L.
Postulación rápida
SAP Master Data Senior Solution Architect (MDG)
KION Group AG —Guadalupe, N. L.
- Administración de personal
- Inglés
- Licenciatura

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Data Engineer with Analytics

DataArt -
Monterrey, N. L.

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Información del empleo

Cualificaciones

Modelado de datos
Git
Inglés
Google Cloud Platform
SQL
Mejora continua
Sistemas de control de versiones
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 a Data Engineer with a strong technical background and a deep understanding of the data lifecycle, from acquisition and integration to modeling and exploitation.
The ideal candidate combines technical excellence with business understanding, capable of translating strategic requirements into scalable data solutions that enable decision making and product development based on reliable and timely information.
This person acts as a connector between data architecture, analytics, and business needs, helping the organization evolve toward a data driven culture.

Responsibilities: Design, develop, and maintain scalable, efficient data pipelines supporting both analytical and operational needs.
Understand the current “as is” state of data sources and architectures, identifying gaps, inefficiencies, and improvement opportunities.
Define and lead a data integration and completeness roadmap, ensuring availability, quality, and traceability of information across domains.
Translate business requirements into clear technical specifications, collaborating closely with multidisciplinary teams (product, analytics, technology, and business).
Implement and optimize data solutions using tools from the GCP ecosystem: BigQuery, Dataform, Terraform, Git, Python, and APIs.
Ensure adherence to best practices in version control, documentation, and monitoring of data processes.
Actively participate in data project prioritization and planning, balancing business impact and technical feasibility.
Promote data governance and literacy, encouraging data informed decision making across teams.
Mentor peers and contribute to the continuous improvement of data engineering standards.

3 years of proven experience in Data Engineering or similar roles.
Advanced proficiency in SQL and BigQuery.
Experience working with Dataform or similar data modeling frameworks (e.g., dbt).
Strong knowledge of Python for data processing and API integrations.
Hands on experience with Infrastructure as Code (Terraform) and version control systems (Git).
Deep understanding of the data lifecycle and its impact on digital products and business decision making.
Ability to communicate effectively with both technical and non technical stakeholders.
Experience designing data roadmaps or contributing to technology evolution plans.
Proven ability to work in Agile environments, participating in sprints and cross functional collaboration.
Fluency in Spanish (team language) and intermediate English for documentation and international collaboration.

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integration lead empleos en monterrey, nle

Data Engineer with Analytics

Senior Software Engineer

Sr. Software Engineer (Python / Django / AWS)

Software Engineer

Hardware Design Engineer

Controls Product Engineer

SAP Senior Developer

QA Engineer

SAP Master Data Senior Solution Architect (MDG)

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