5 publicaciones de empleo destacadas de interface engineer en interlomas méx. (¡Están contratando!)

Data Engineer, YouTube Marketing
YouTube —Ciudad de México, CDMX
- Informática
- Experiencia en ventas
- Inglés
14d
Senior Software Engineer (AI-Native) (Full-time Contractor)
Nerdy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Java
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Solution Engineer
Markem-Imaje —Ciudad de México, CDMX
- Informática
- Inglés
- Microsoft Office
- Seguro dental
- Seguro de vida
7h
Solution Engineer
Markem-Imaje —Ciudad de México, CDMX
- Informática
- Inglés
- Microsoft Office
- Seguro dental
- Seguro de vida
7h
Lead Engineer
HILTI —Ciudad de México, CDMX
- Inglés
- Experiencia en construcción
- Liderazgo
5h

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Data Engineer, YouTube Marketing

YouTube -
Ciudad de México, CDMX

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Información del empleo

Hace 14 días

Cualificaciones

TensorFlow
YouTube
Data mining
Go
Derecho
Informática
Experiencia en ventas
Big data
Spark
NoSQL
Matemáticas
Inglés
Apache Hive
MongoDB
Java
Experiencia en bases de datos
C++
Licenciatura
JavaScript
Requisitos comerciales
Python
Hadoop

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 Computer Science, Mathematics, a related field, or equivalent practical experience.
3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

Experience in technical consulting.
Experience working with Big Data, information retrieval, data mining, or machine learning.
Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
Expertise in designing data models, data warehouses, and handling large-scale distributed data processing.

About the job

As a Data Engineer for the Global YouTube Marketing team, you will play a vital role in building and maintaining the data infrastructure that fuels our marketing strategy. You will design, develop, and optimize scalable data pipelines, ensuring high data quality and accessibility for analytics and reporting. Your technical expertise will enable the broader marketing organization to leverage data-driven insights to measure and optimize the impact of marketing initiatives.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems-from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can-changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

Design, develop, and maintain scalable data pipelines and data models to collect, process, and store data from various marketing sources.
Integrate new metrics into core data marts and establish robust data quality checks and monitoring to ensure data accuracy, integrity, and pipeline stability.
Collaborate with cross-functional partners to translate business requirements into technical data solutions and infrastructure.
Optimize data infrastructure and querying layers for performance, efficiency, and scalability to support evolving Global YouTube Marketing needs.

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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