16 publicaciones de empleo destacadas de python developer en ciudad de méxico, dif (¡Están contratando!)

BI Developer II, Google Cloud
Google —Ciudad de México, CDMX
- Experiencia en ventas
- Inglés
- SQL
11d
Sr. Developer Java, Spring Boot.
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- DevOps
- Java
4d
Software Engineer, Education Account Linking
Google —Ciudad de México, CDMX
- Doctorado
- Informática
- Inglés
7d
Business Intelligence Developer I, Google Cloud
Google —Ciudad de México, CDMX
- Experiencia en ventas
- Inglés
- Maestría
14d
Lead Product Engineer (Full Stack - Python / React), Materia AI (Evergreen)
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en bases de datos
- Licenciatura
Process Transformation Analyst, Americas Finance
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Administración de personal
- Inglés
12d
Tech Lead Full Stack Laravel
Selection Book —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Principal Engineer, DevOps
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de la vista
Senior Security Infrastructure Engineer
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Linux
Salesforce Application Engineer
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- Experiencia en bases de datos
Marketing Cloud Consultant
Grupo Capqtus —Ciudad de México, CDMX
- Mercadotecnia
- Ingeniería
- Inglés
Postulación rápida
Business Analyst (Pre-Sales & Delivery)
TechBiz Global GmbH —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- PMP
- Licenciatura
DevOps Engineer, Enterprise Automation
Kone —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de la vista
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
FBS MLOps Engineer Manager
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida

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Sr. Developer Java, Spring Boot.
Accenture —Ciudad de México, CDMX
Document processes, incidents, and solutions. Collaborate in identifying improvements, especially focused on performance and backend process automation.
4d
Analyst Java, Spring Boot
Accenture —Ciudad de México, CDMX
Document processes, incidents, and solutions. Collaborate in identifying improvements, especially focused on performance and backend process automation.
4d

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BI Developer II, Google Cloud

Google -
Ciudad de México, CDMX

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Información del empleo

Hace 11 días

Cualificaciones

Looker
Power BI
Modelado de datos
Go
Experiencia en ventas
Estructura de datos
Inglés
Tableau
SQL
Licenciatura
JavaScript
Python
HTML

Descripción completa del empleo

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
7 years of experience in data modeling, developing data sets, or creating data visualizations.
Experience writing SQL queries.
Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
Experience designing and building data structures, data pipelines, data marts, or data warehouses.

Preferred qualifications:

Experience supporting data-driven sales operations, consulting, or program management and strategic cross-functional BI initiatives in a cloud business.
Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
Experience working with systems for collaborative code reviews including version control.
Experience with developing AI agents.
Familiarity with statistical modeling techniques.
Ability to communicate complex technical concepts to both technical and non-technical audiences.

About the job

Google Cloud empowers organizations worldwide to digitally transform their operations with industry-leading infrastructure, platform capabilities, and specialized expertise. We deliver enterprise-grade solutions built on Google’s cutting-edge technology and the industry's cleanest cloud. Across more than 200 countries and territories, customers trust Google Cloud to fuel their growth and solve their most complex business challenges

The PACE Intelligence team is the global business intelligence foundation of Google Cloud, designed to accelerate sales growth through AI agents, advanced reporting, and streamlined performance management. We are responsible for building the semantic source of truth for the business, delivering reporting capabilities that serve over 10,000 sellers across the Cloud Go-To-Market (GTM) organization.

By empowering GTM and Regional teams with scalable insights, a resilient data layer, and innovative KPIs, we enable our sellers to deeply understand their book of business and bring the very best of Google to their customers. Ultimately, our mission is to drive business success and execute our Cloud strategy through an insights-led ecosystem of dashboards, agents, and expert analysts.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Design and build data infrastructure including data pipelines, warehouses, and advanced SQL scripts—to power scalable analytical models and intuitive, user-friendly dashboards.
Develop, test, and maintain AI agents that integrate with existing data pipelines to scale the generation and delivery of actionable business intelligence.
Transform complex data into actionable insights by developing data models, data marts, and automated reporting that provide both leadership and field teams with a clear, accurate picture of business performance.
Lead end-to-end business intelligence projects from conceptualization to delivery, ensuring data solutions deliver high-quality, relevant insights that accelerate Cloud consumption and business growth.
Partner closely with cross-functional stakeholders to translate strategic business needs into KPI frameworks that accurately track business, consumption, and Go-To-Market (GTM) strategy execution.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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python developer empleos en ciudad de méxico, dif

BI Developer II, Google Cloud

Sr. Developer Java, Spring Boot.

Software Engineer, Education Account Linking

Business Intelligence Developer I, Google Cloud

Lead Product Engineer (Full Stack - Python / React), Materia AI (Evergreen)

Process Transformation Analyst, Americas Finance

Tech Lead Full Stack Laravel

Consultor Snow Flake Senior

Principal Engineer, DevOps

Senior Security Infrastructure Engineer

Salesforce Application Engineer

Marketing Cloud Consultant

Business Analyst (Pre-Sales & Delivery)

DevOps Engineer, Enterprise Automation

Principal Software Architect – Platform Integrations (with AI Focus)

FBS MLOps Engineer Manager

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