Responsibilities
- Design, develop, and maintain scalable data pipelines and data models to collect, process, and store data from various marketing sources.
- Integrate new metrics into core data marts and establish robust data quality checks and monitoring to ensure data accuracy, integrity, and pipeline stability.
- Collaborate with cross-functional partners to translate business requirements into technical data solutions and infrastructure.
- Optimize data infrastructure and querying layers for performance, efficiency, and scalability to support evolving Global YouTube Marketing needs.
Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
- 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
- Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
- Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Experience in technical consulting.
- Experience working with Big Data, information retrieval, data mining, or machine learning.
- Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
- Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
- Expertise in designing data models, data warehouses, and handling large-scale distributed data processing.