Data Engineer, YouTube Marketing
Core
Design, develop, and optimize scalable data pipelines and data models to collect, process, and store data from various marketing sources for the Global YouTube Marketing team.
Role type
Mid-level Data Engineer
Builds
Scalable data pipelines, data marts, and infrastructure for marketing analytics
Domain
Internet scale marketing / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data processing (Hadoop, Spark, Pig, Hive), Algorithms (MapReduce, Flume), Database administration, Software development (Java, C++, Python, Go, JavaScript), Generative AI/LLM integration, Data modeling, Data warehousing, Large-scale distributed data processing
Preferred skills
Technical consulting, Big Data/Information retrieval/Data mining/Machine Learning, Multi-tier high availability applications, Virtualized environments
Technologies
Hadoop, Spark, Pig, Hive, MapReduce, Flume, MongoDB, SparkML, TensorFlow
Responsibilities
Design, develop, and maintain scalable data pipelines and data models; Integrate new metrics into core data marts and establish robust data quality checks; Collaborate with cross-functional partners to translate business requirements into technical solutions; Optimize data infrastructure and querying layers for performance and scalability
Seniority
Mid, hands-on IC
