Roles and Responsibilities

• Develop, implement, and support the usage of data visualization toolkit, configuration, deployment, and usage.
• Ensure and enforce a governance process to oversee implementation activities and ensure alignment with the defined architecture.
• Maintain logical and physical data models along with accurate metadata.
• Provide documentation of solution design, as well as end-user training and change management communications at times.

Required Experience/Skills

• Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, and ETL and data ingestion protocols).
  
• Experience with data warehouses, data lakes, and enterprise big data platforms in multi-data-center contexts is required.
  
• Good knowledge of Data warehousing concepts, metadata management, data modeling, and related tools (Erwin or ER Studio or others) is required.
  
• Experience in QA testing, Diagraming, Design Build, and Maintain Infrastructure.
• Experience in Python AWS, Oracle, and Postgres.
• Experience in Performance Tuning and PL/SQL.

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