Data Engineer, YouTube

Minimum qualifications:

• 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, etc.) and external stacks (DataFlow, Spark, etc.).

• 5 years of experience coding in one or more programming languages.

• 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Preferred qualifications:

• Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Math).

• Experience with data warehouses, large-scale distributed data platforms, and data lakes.

• Ability to navigate ambiguity in a fast-paced environment with multiple stakeholders.

• Excellent structured thinking skills, with the ability to break down complex, multi-dimensional problems.

• Excellent business and technical communication, organizational, and problem-solving skills.