Writing SQL statements, including use of aggregate functions and joins; Conducting quantitative analyses on large data sets; Data warehouse architecture; Data modeling design; ETL pipeline design, implementation, and maintenance; BI visualization tools including Tableau, Looker, Qlikview, Qliksense, or similar; Cloud-based computing services and data warehouses such as Snowflake, Google BigQuery, Amazon Redshift or similar; Linux/OSX command line, and version control software (Git); Python scripting to process data for modeling; In the alternative, employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Information Systems, Engineering (any), or related field of study plus five (5) years of progressive post-bachelor experience in the field of software engineering/robotics, or related occupation.