Proven experience with querying and analyzing data from SQL relational databases such as AuroraDB, IBM DB2, MemSQL, MS SQL Server, MySQL, Postgres, Redshift or Snowflake, and NoSQL Databases such as Cassandra, DynamoDB, Redis, or MongoDB Experience with data science languages such as R, and Python as well as general purpose languages such as Java, Scala, C or JavaScript