Compunnel
Data Modeler
Compunnel, New York, New York, us, 10261
Description:
POSITION GENERAL DUTIES AND TASKS : Date Modeler
Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS,AWS Redshift Datawarehouse ,operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
The candidate must be able to work independently and collaboratively.
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
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Understand business requirements and define entities, attributes, mapping, relationships, and integrity rules with the proper naming conventions/standards
Life and annuity Insurance domain knowledge.
To assist business analysts and developers to understand and use data models that organize the data into tables and accounts for access.
Education:
Bachelors Degree
POSITION GENERAL DUTIES AND TASKS : Date Modeler
Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS,AWS Redshift Datawarehouse ,operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
The candidate must be able to work independently and collaboratively.
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
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Understand business requirements and define entities, attributes, mapping, relationships, and integrity rules with the proper naming conventions/standards
Life and annuity Insurance domain knowledge.
To assist business analysts and developers to understand and use data models that organize the data into tables and accounts for access.
Education:
Bachelors Degree