Design and implement medium-scale data pipeline solutions to integrate internal and external data sources, supporting YouTube's strategic initiatives such as public claims and Ads partner integrations.
Provide ongoing technical support for YouTube's viewership metrics initiatives and manage YouTube data feeds.
Guarantee the technical aspects of YouTube viewership data integrations, offering guidance and documentation.
Identify and optimize new third-party reporting opportunities using YouTube technologies.
Write and maintain ETL pipelines in languages like Python and C++.
Job Requirements:
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 designing data pipelines for system integration.
3 years of experience with data models, exploratory queries, and managing internal and external data stacks (e.g., Flume, DataFlow, Spark).
Preferred: Experience with statistical tools, BI tools (e.g., Tableau, Power BI), and Machine Learning for production workflows.
