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Data Modeler!!Visa: or !!Location: remote at Remote, Remote, USA
Email: [email protected]
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From:

VISHAL,

PRANSUTECHSOLUTIONS

[email protected]

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Data Modeler

Duration: 6+ months

Location: remote

Visa: or

Skype Hire

Responsibilities:

Create conceptual, logical, and physical data models for ODS, MSR, EDW, DLH and PBI Datasets

Document Data flows for critical data domains like customer, client, employee, product etc.

Optimize physical data model to respective use cases Ex: DLH- Bronze, Silver and Gold

Guide and support Data management strategy

Identify existing data gaps and solution design approaches

Collaborate with enterprise architects and present pros and cons of different modeling solutions

Support technology roadmaps from modeling perspective

Maintaining and modifying staging, data warehouse and data mart logical and physical schemas

Maintaining and controlling schema definitions and meta data

Establishing and maintaining meta data standards

Coordinating with the business staff and the warehouse support staff in matters regarding meta data capture and meanings, schema modifications and enhancements

Developing and maintaining technical documentation about the data

Coordinating with the ETL specialist on data mappings and conversion rules

Coordinating with the development DBA for instantiating logical schemas into physical schemas

Identifying opportunities to optimize warehouse performance

Data model version control

Skills:

Experience building data models to support operational and analytics needs

Strong understanding of 3NF, Kimbell and Inmon approaches to data models.

Understand the nuances of building a data model for Databricks/Snowflake

DBA on a SQL-based DBMS (Oracle, SQL Server, MySQL, DB2, etc.)

Knowledge and understanding of business intelligence/data warehouse concepts and principles

In-depth knowledge of relational and dimensional data models

Proficiency in data modeling tools

General understanding of the RDBMS

Excellent written and verbal communication skills

Strong analytical and problem-solving abilities

Working knowledge of business functions, terms and processes

Strong understanding of and adherence to data governance principles

Understanding of core data privacy requirements and modeling impacts

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08:17 PM 18-Aug-23


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