Data Modeler

(Mostly involves source analysis. So we can take somebody knows analysis and mapping well. So if he or she is good at ETL or other developments it is fine.)

Experience as a Data Modeling using data modeling tools such as Erwin, Toad or ER/Studio

• Good knowledge of metadata management, data modelling, and related tools Alation & ER Studio required.

• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of same in Azure Synapse

• Should have good data modelling skills in relational, dimensional, and NoSQL databases.

• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts would be helpful.

• Experience building and optimizing – Cloud data modelling architectures, and data sets.

• In-depth understanding of database structure principles

• Familiarity with Microsoft Azure, Azure SQL, Azure Data Flow & Azure Data Factory

• Experience supporting and working with cross-functional teams in a dynamic environment

• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.

• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.