Experience in data modeling for complex, large-scale global data driven implementations.
Strong experience in data modeling activities supporting time series, data warehousing data transformations.
Ability to create and maintain conceptual, logical, and physical data models.
Ability to comprehend complex data consumption requirements and define semantic models to support them.
Ability to understand business associated data landscape and identify data domains aligned to business capabilities.
Ability to collaborate with cross-functional teams to gather and analyse data requirements.
Exposure to / understanding of modern data management approaches e.g. data mesh, data on cloud technologies e.g. Snowflake, RDS data processing platforms e.g. Starburst.
Proficiency in any data modeling tool preferably Erwin.
Ability to distil complexity, strong analytical and problem-solving skills.
Ability to get into the details of query performance issues and address them through efficient database design data modeling.
Excellent communication and documentation skills.
Knowledge of industry best practices for data modeling and database design.
Experience in Finance domain would be an added advantage.