Senior Data Engineer, YouTube

As a Data Engineer within YouTube Analytics and Data Science, you will be part of a community of analytics professionals working on projects ranging from developing data pipelines to analyzing content partnerships and the creator ecosystem. This will guide business leadership on optimizing the effectiveness and efficiency of partner-facing business teams. Responsibilities: - Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs. - Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users to enable data-driven decision-making. - Work with analysts to product-ionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models. - Drive the data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses. - Engage with the analyst community, communicate with analysts to understand critical user journeys and data sourcing inefficiencies, advocate best practices, and lead analyst trainings. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of experience designing data pipelines and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume) and external stacks (e.g., DataFlow, Spark, etc.). - 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts. - 5 years of experience coding in one or more programming languages. Preferred Qualifications: - Masters degree in a quantitative discipline. - Experience with data warehouses, large-scale distributed data platforms, and data lakes. - Ability to break down complex, multi-dimensional problems. - Ability to navigate ambiguity in a fluid environment with multiple stakeholders. - Excellent business and technical communication, organizational, and problem-solving skills.,