Data Engineer focused on designing and developing the lakehouse architecture and data pipelines as the organization transitions from its current Azure DevOps environment toward Databricks on AWS S3. these roles will still be based on the Databricks Lakehouse medallion architecture, supporting data centralization across our in-house systems. It would be a big plus if the candidates have worked with Amazon Connect, EPS, or any CRM used for enrollment and case. They must be able to understand ERDs and fundamental data modeling concepts, such as baseline grain or join cardinality.
Additionally, they must be capable of conducting their own unit tests after development.
AWS connect, contact lens and bedrock experienced engineers. 2-3 years experience will suffice.