Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
10 years of experience coding with SQL or one or more programming languages (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation
8 years of experience designing data pipelines (ETL) and dimensional data modeling for synchronous and asynchronous system integration and implementation.
Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams.
Preferred qualifications:
Master’s degree in Engineering, Computer Science, Business, or a related field.
Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
Experience with experimentation infrastructure, and measurement approaches in a technology platform.
Experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).