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Job Summary
Hands-on data modelling experience on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, preferable on AWS Redshift etc)
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
Required Experience and Qualifications
Hands-on data modelling experience on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, preferable on AWS Redshift etc)
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models