Data Engineer, Product Analytics

Design and develop data solutions to transform data from diverse domains and components, facilitate visibility and consumption of domains and components via interfaces, and provide insights to influence overall strategy.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field
• Completion of a university-level course, research project, internship, or thesis in features, design, and use-case scenarios across a big data ecosystem, custom ETL design, implementation, and maintenance, object-oriented programming languages, schema design and dimensional data modeling, writing SQL statements, analyzing data to identify deliverables, gaps, and inconsistencies, managing and communicating data warehouse plans to internal clients, MapReduce or MPP system, and Python

Benefits

• Bonus
• Equity