Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
Experience with multiple full life-cycle data warehouse implementations.
Understanding of data architectures required to support data integration processing.
Experience with data modeling technologies such as ER/Studio, ER/Win or similar.
Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs.
Proficiency in Python and SQL scripting, SQL, PySpark.
General Cloud Architecture competency skillset, capable of taking requirements to build out data pipelines.
Responsibilities:
Design and implement logical and physical data models for cloud and hybrid data warehouse environments.
Implement data architectures supporting various data formats and structures including structured, semi-structured, and unstructured data.
Conduct data profiling and create source to target mappings.
Provision and configure Azure data service resources.