11 publicaciones de empleo destacadas en data engineer (databricks) (¡Están contratando!)

Analytics Data Engineer I - Monterrey
John Deere —San Pedro Garza García, N. L.
- SQL
- Python
8h
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
10d
JR-183528 SAP BW Consultant Lead
Customertimes —Ciudad de México, CDMX
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
SAP Analytics Engineer (Datasphere)
Capgemini —México
- $1 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Azure - Data Engineer
Citi Value in Real Time —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Senior Data Engineer
SunnyData —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Senior Data Engineer Bilingual
NORTHWARE SA DE CV —México
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
- Seguro de vida
Postulación rápida
Big Data Developer
Grid Dynamics —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro de la vista
- Seguro de vida
Senior Data Engineer Bilingual
Northware —México
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
- Seguro de vida
Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
Scalepex —México
- Home Office (Desde casa)
- Administración de personal
- Java
- Experiencia en bases de datos
Postulación rápida

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Analytics Data Engineer I - Monterrey

John Deere -
San Pedro Garza García, N. L.

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Información del empleo

Hace 8 horas

Cualificaciones

Power BI
SQL
Usabilidad
Swift
Python

Descripción completa del empleo

There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before in our more than 185 - year history. Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW.

Title: Analytics Data Engineer I - Monterrey

Primary Location: Garza Garcia

Function: Data and Analytics (CA)

John Deere is a foremost leader in the ag equipment business, and we continue to put a solid stamp on other industries. For over 185 years, the company’s portfolio of groundbreaking products has grown to include industries related to and outside of agriculture, including Turf, Construction and Forestry and Wind Technologies. The image of John Deere is no longer that of a signature green tractor meandering across a field; it’s been replaced with an image of acceleration, swift progress, and innovative leaping toward the company’s 200th year. The product line alone serves as proof with advances in machine performance, equipment automation, fleet management, and John Deere’s ongoing investment in emerging markets.

Note: All candidates should have their tax situation certificate (Constancia de Siituación Fiscal) up to date with the salary regime to be eligible for the hiring process.

Main Responsabilites:

Design, develop, and maintain interactive Power BI dashboards and reports tailored to business stakeholders.
Build and optimize semantic models and reporting layers to ensure consistent KPI definitions and data usability.
Develop advanced SQL queries to extract, join, and manipulate large enterprise datasets.
Work with enterprise data platforms (e.g., Databricks, Enterprise Data Lake) to process and manage large-scale datasets.
Translate business questions (quality, warranty, operations, product performance) into scalable data solutions and datasets.

What Skill You Need:

Power BI development experience, including building, optimizing, and supporting dashboards and semantic/reporting layers for business users.
Strong SQL skills for querying, joining, validating, and troubleshooting enterprise data sets, views, and tables.
Experience working with enterprise data platforms such as Databricks / EDL and with notebook-based or pipeline-based data processing.
Experience translating business questions into usable data products, especially for quality, warranty, product, or operational analytics.
Ability to work with shared code, version control, and collaborative environments such as GitHub.
Strong documentation habits and ability to hand off work cleanly so teammates can maintain and extend solutions.

What Makes You Stand Out:

Python experience for analytics, data preparation, automation, or model support.
Interest in and some hands-on exposure to machine learning, predictive modeling, or AI-enabled workflows.
Familiarity with AI-ready data concepts, AI-assisted analytics, or integrating analytics outputs into operational decision-making.
Comfort working across dashboarding, data engineering, and business stakeholder support rather than being limited to only one layer of the stack.

Education:

Data Science, Mechatronic Engineer, Actuarial.

This position will be posted for a minimum of 10 business days and unposted when a qualified pool of candidates is achieved.

Candidates must have the necessary work permits to work in the country.

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data engineer (databricks) empleos

Analytics Data Engineer I - Monterrey

Software Development Specialist

JR-183528 SAP BW Consultant Lead

Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

SAP Analytics Engineer (Datasphere)

Azure - Data Engineer

Senior Data Engineer

Senior Data Engineer Bilingual

Big Data Developer

Senior Data Engineer Bilingual

Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO

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