Community

Home >

Jobs >

Data Engineer, Global YouTube Marketing

Data Engineer, Global YouTube Marketing

4 Weeks ago • 3-6 Years • Data Analyst

About the job

10 skills required for this role

Test your skills to join the top 1% applicants for this job

spark

data-science

tableau

power-bi

business-intelligence

budget-management

scalability

data-driven-decisions

innovation

cross-functional

Job Description

As a Data Infrastructure Manager for the Global YouTube Marketing team, you'll be a key driver in shaping marketing strategy. You will build and lead a team of data engineers, developing cutting-edge data solutions, insightful dashboards, and robust data pipelines. Responsibilities include designing and building data processing systems focusing on security, scalability, and efficiency; creating data visualizations using BI tools; developing and maintaining data models and pipelines; providing ongoing support for data users; and collaborating with cross-functional teams. The role involves enabling data-driven decisions to optimize campaigns and quantify the incremental impact of marketing initiatives. You will leverage internal (Flume) and external stacks (DataFlow, Spark) for data pipeline design and implementation.

Must have:

Bachelor's degree or equivalent experience
3+ years coding experience
3+ years data infrastructure & modeling experience
3+ years designing data pipelines
Experience with BI tools (Datastudio, Tableau etc.)
Collaboration with cross-functional teams

Good to have:

3+ years experience with statistical methodology
3+ years stakeholder management experience
3+ years project planning and delivery experience
Machine Learning experience for production workflows
Understanding of incrementality measurement

Not hearing back from companies?

Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

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., 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.

View Full Job Description

Upload your resume, increase your shortlisting chances by 80%

About The Company

Google

2228 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.