Working within a task-oriented and test-driven team to implement and maintain cloud-native data landing and transformation solutions integrated into our self-service data product platform; Supporting the development of our self-service platform SDK for data product management and operation on Google Cloud Platform and Microsoft Azure; Designing and implementing a cloud-native data science platform that supports the full ML lifecycle, including model; Collaborating with data scientists and ML experts to promote the use of our data platform; Creating software solutions that enable hybrid data processing in both multi-cloud and on-premises environments; Integrating security standards, policies, and controls into our service offerings; Investigating, preparing, and migrating products from on-premise infrastructure to cloud-native solutions; Focusing on delivering high-quality code and robust architecture;