Data Engineer, Global Youtube Marketing

Google; Xico; Presencial; MXN 1,457,000 - 2,187,000; Jornada completa

Descripción de la vacante

A leading global technology company is seeking a Data Infrastructure Manager for the Global YouTube Marketing team. In this key role, you will design and maintain a robust data infrastructure that empowers data-driven marketing strategies. You will lead and mentor a team of data engineers responsible for building innovative data solutions and establishing efficient data pipelines. This position requires 3+ years of experience in coding and data management, aiming to optimize marketing campaigns through effective data utilization. This role is based in Veracruz, Mexico.

Formación

• 3 years of experience coding in one or more programming languages.
• 3 years of experience designing data pipelines and data modeling.
• Experience with data consumption tools such as business intelligence tools.

Responsabilidades

• Design and build data processing systems focusing on security and scalability.
• Create data visualizations using Business Intelligence tools.
• Develop and maintain data models and pipelines.

Conocimientos

Coding in programming languages

Data infrastructure management

Data modeling

Statistical methodology

Project management

Machine Learning

Educación

Bachelor's degree or equivalent practical experience

Herramientas

Tableau

Power BI

DataFlow

Spark

Descripción del empleo

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience coding in one or more programming languages.
• 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
• 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).

Preferred qualifications

• 3 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders / customers.
• 3 years of experience developing project plans and delivering projects on time within budget and scope.
• Experience with Machine Learning for production workflows.
• Understanding of incrementality measurement methodologies and frameworks

About the job

As a Data Infrastructure Manager for the Global YouTube Marketing team, you will be a key driver in shaping our marketing strategy through the development and maintenance of a robust data infrastructure.

You will build, mentor and lead a team of talented data engineers, empowering them to build cutting‑edge data solutions, design insightful dashboards, and establish robust data pipelines that fuel our marketing efforts.

In this role, you will enable the marketing team to make data‑driven decisions that optimize campaigns and quantify the incremental impact of marketing initiatives.

YouTube / Video Global Solutions is the link between Google video products and sales.

Our mission is to fuel innovation that keeps YouTube and Video free and accessible to the world.

We do this by translating global market needs into meaningful product solutions that drive business results for content partners and customers.

Responsibilities

• Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability.
• Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., PLX, Datastudio, Tableau, etc.).
• Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training / models.
• Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training.
• Collaborate with cross-functional teams (e.g., Marketing, Data Science, Engineering, and Analytics) to understand data requirements and deliver impactful data solutions.

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 alsoGoogle's EEO Policy andEEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.