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Job ID : 29644

Location : New York, NY

Company Name : Pinnacle Soft Solutions LLC.,

Job Type : contract

Industry : Information Technology

Salary : $25 - $35  per hour

No. of Positions : 10+


Required Skills : Data lakes.

Benefits : None of These


Job Description :

Position: Data Analyst

Location: Princeton, NJ(Remote)

Interview Mode: Video

Type: Contract

Visa: ALL

 

Project Description:

 

  • 2 -3 years of Data & Analytics experience with a focus on data architecture and data modeling
  • Be responsible for the development of the conceptual, logical, and physical data models - implementation of operational data store (ODS), data marts, data warehouses and data lakes on cloud platforms such as AWS and Snowflake
  • Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices
  • Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models to meet business requirements and information needs
  • Engages in business requirement discussions and analyzes the source systems to gain an understanding of the data sources for the data platform
  • Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
  • Strong hands-on experience working with data modeling tools such as Erwin
  • Good technical understanding and appreciation for cloud data platforms such as AWS and Snowflake
  • Perform data analysis and profiling to gain an appreciation for the data
  • Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks
  • Works and collaborates with technical leads covering data integration, BI and analytics
  • Works with the DBA team to transform the logical data model into physical data model to be implemented in the target database
  • Develop transparent and well-understood enterprise data governance processes, rules, and technologies to support them, identify and promote best practices for data modeling within information areas
  • Strong written and verbal communication skills

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