13 publicaciones de empleo destacadas de data engineer etl en ciudad de méxico, dif (¡Están contratando!)

Practice Customer Engineer, Data Analytics, Google Cloud
Google —Ciudad de México, CDMX
- Informática
- Experiencia en ventas
- Inglés
Integration Engineer (Hybrid)
Acute Talent —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
Postulación rápida
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Software Engineer, Privacy
Lyft —Ciudad de México, CDMX
- Inglés
- Investigación
- Java
10d
Success Architect - Sales Cloud
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
13d
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
6d
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Lead Full Stack Web Developer and Shopify Expert
Onda —Álvaro Obregón, CDMX
- $15 a $25 por hora
- Tiempo completo
- Administración de personal
- SQL
- JavaScript
Postulación rápida
Senior Clinical Data Engineer (LATAM)
Precision Medicine Group —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Senior Clinical Data Engineer (LATAM)
Precision for Medicine —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Postulación rápida

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Practice Customer Engineer, Data Analytics, Google Cloud

Google -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Modelado de datos
Go
Informática
Experiencia en ventas
Big data
Spark
Matemáticas
Inglés
Google Cloud Platform
Java
Maestría
Experiencia en bases de datos
SQL
Licenciatura
JavaScript
Liderazgo
Python

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 in a technical field or equivalent practical experience.
10 years of experience in a customer-facing technical role or equivalent engineering experience, with a focus on data analytics and cloud solutions.
Experience with core data analytics and Big Data concepts (e.g., analytics warehousing, data transformation, ETL/ELT pipeline design, SQL, and database performance optimizations).
Experience using programming languages (e.g., Python, Java, Go) to build technical prototypes, demonstrations, or proof-of-concepts for customers.
Experience presenting technical architectures to technical stakeholders and executive/C-level business leadership.

Preferred qualifications:

Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
Experience working with LLMs and designing agentic workflows and multi-agent architectures.
Experience in managing and delivering successful proof-of-concepts, focused on the customer value provided by the solution and meeting customer needs.
Expertise with distributed systems, Lake House architectures, Spark/Dataproc, MLOps, schema design, and query optimization.
Expertise with advanced data modeling and analytics.

About the job

As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to develop architectures and prototypes, proofs-of-concept, and demos to promote new, highly specialized solutions to customers. You will solve customer challenges and provide a critical feedback loop to influence customers and product development.

You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.

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

Drive the technical win for complex workloads within data analytics to ensure rapid, successful adoption, supporting the business cycle from use case identification and technical evaluation through customer ramp.
Combine sales strategies and prototyping to deliver tailored solutions across the end-to-end data lifecycle—encompassing storage, transformation, and visualization—securing buy-in from customer domain experts.
Design and architect advanced analytics experiences, specifically incorporating modern technologies like AI-driven data agents and analytic agents to meet evolving enterprise demands.
Lead complex migrations and proof-of-concepts, helping enterprise customers transition legacy data environments to modern Google Cloud solutions.
Drive internal technical leadership and feedback loops, partnering with GTM to build reusable solutions and collaborating with Product/Engineering to escalate and resolve customer feature requests.

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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data engineer etl empleos en ciudad de méxico, dif

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