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Data Modeler at Remote, Remote, USA
Email: [email protected]
From:

supriya,

nitya software solutions

[email protected]

Reply to:   [email protected]

Hi,

Hope you are doing great.!

This is Supriya from Nitya Software Solutions Inc; This mail is regarding the job opportunity. Please let me know if you are interested and available for the below position. If you are interested, Please share your updated resume to [email protected] or you can reach me at 8017834423. I would appreciate if you can refer someone for this position.

Must Have: Erwin or ER Studio

Job Description:

Responsibilities:

Responsible for the development of the conceptual, logical, and physical data models on Cloud Data Warehouse, data marts, and data lakes on target platforms like Redshift.

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 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 modelling 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.

Skills & Experience:
10 years of hands on design and implementation of Data Warehouse, Dimensional model and business semantic models
Should have hands on experience in designing and build data models from scratch on Cloud Data Warehouse like Redshift, Aurora , Dynamo DB
Experience in using data modelling tools like Erwin or ER Studio or others is required.
Experience on modelling in Big data environment  on -premise implementation, Hive Database is preferable
Have a experience in SQL and  good  understanding of source  systems  like Oracle , SQL Server , Teradata etc is must
Should have knowledge of Knowledge of any ETL tool, Informatica is preferable
Strong communication skills
Exposure to Insurance domain is preferable

Keywords: database
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Wed Sep 06 21:15:00 UTC 2023

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