Cortica is looking for a Data Engineer to build complex data models and data pipelines from health and business operations data to drive business decisions and improve quality of care.
Requirements
- You have experience with Python programming for the purpose of ETL.
- You possess a deep knowledge of Kimball Data Modeling.
- You possess a deep knowledge of SQL.
- You have experience with Cloud data such as AWS or Azure big data offerings.
- You have an understanding and experience building Power BI data models and reports.
- You have 2+ years of experience working with Data Warehouse ETL and building out data pipelines.
Responsibilities
- Work closely with financial data analysts to build complex data models and data pipelines from health and business operations data utilizing Python, Airflow, MS SQL, Snowflake, and AWS
- Work on the data pipeline platform to enable Analytics and Data Science team members to build reliable data models and supporting pipelines quickly and efficiently
- Data modeling using Kimball methodology to support financial and operational analytics
- Consistently evolve data model & data schema based on business and engineering requirements
- Deliver data that will drive business decisions and improve quality of care
- Assemble large, complex data sets that meet functional / non-functional business requirements from a variety of data sources to the AWS Data Lake
- Support analytics teams with their development in Power BI
Other
- You possess a bachelor’s degree.
- You have excellent communication skills to collaborate with partners in IT, data science, and Finance.
