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.