Bachelor's degree in Computer Science, Information Technology or related field
Strong SQL knowledge, including writing complex, performant queries to pull data from multiple platforms such as SQL Server, Microsoft Azure, Netezza, Oracle, or DB2
Experience working on the design and implementation of large data technologies and solutions related to data warehouses, data lakes and data marts within a cloud data environment including tasks such as data architecture design, automation, security, storage and configurations.
Experience creating and maintaining automated extract-transform-load (ETL) processes using tools such as Azure Data Factory, SnapLogic, and/or Python
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Knowledge of Python or similar programming language
Understanding of how to define, design and build dimensional database schemas, including star and snowflake schemas
Working knowledge of DevOps methods and CI/CD automation practices
Proficiency in understanding Healthcare related data
Proficiency in verbal and written communication
Knowledge of Power BI as reporting tool and its data access architecture is a plus.
Proficiency in design of various database objects such as Views, Stored Procedures, Functions etc.