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Tier-1 brand plus popular mid-level Data Engineer title, metro location, and broad skill requirements.
Core data engineering skills transfer across industries, though YouTube product domain adds moderate bias.
Explicit 5-year requirement and specific tech stack expectations increases filter strictness.
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Build, maintain, and optimize YouTube’s ETL pipelines and data platforms ensuring data reliability, integrity, and governance.
Gather requirements and define business data needs with stakeholders across levels including executives.
Partner with analysts to productionize data integrations, transformations, and advanced models; lead analyst training on best practices.
Bachelor's degree or equivalent practical experience.
Minimum 5 years experience designing data pipelines, dimensional data modeling, and coding in one or more programming languages.
Experience working with data infrastructure, exploratory queries, and scripts in large-scale systems (internal and external stacks like Flume, DataFlow, Spark).
Work Experience Required: 5 years in relevant data engineering roles.
Experienced in building scalable data architectures and ETL pipelines in complex, multi-stakeholder environments.
Skilled at collaborating with analytics teams to translate data into business insights and operational reporting.
Able to lead data governance initiatives and educate analyst community on data standards and best practices.