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Sr Data Modeler or Data Engineer at Remote, Remote, USA
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From:

Bhavna pal,

Largeton.Inc

[email protected]

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Sr Data Modeler/Data Engineer

Job Description

Location: Onsite in Jupiter

Must be a GC or USC

Possibly can be converted to perm  after 6 months

Looking a Sr Data Modeler/Data Engineer with heavy SQL and strong warehousing experience. In house for data modeling tools they use Erwin or ModelMart. If they have ER Studio that will be an easy transition to learn their tools. Must have strong Oracle and Redshift.

*Talend (ETL) is a plus.

looking for a blend of Data Modeler+Engineer

Skills -

 Strong understanding of data modeling concepts and methodologies (e.g. dimensional, relational, semantic)

 Knowledge of data warehousing design patterns and dimensional modeling techniques

 Extensive experience with data warehousing, OLAP (Online Analytical Processing), big data, and cloud technologies

 Strong proficiency in SQL and NoSQL databases Oracle, PostgreSQL and Redshift

 Ability to design and implement complex data models to support business requirements that align with reporting and analytics

 Proficiency in SQL and data modeling tools (e.g. ER Studio, ERWin)

 Good understanding of data governance and data management best practices

 Strong ability to analyze and interpret large amounts of data

 Excellent communication skills to effectively collaborate with cross-functional teams and stakeholders

 Ability to stay up to date with new trends and technologies in the data modeling field

 Strong understanding of data architecture concepts, models, and frameworks

 Ability to translate complex technical concepts into business terms

 Knowledge of ETL (Extract, Transform, Load) processes using Talend

 Strong knowledge of data security and privacy best practices

 Understanding of data visualization and reporting tools (e.g. PowerBI, QuickSight)

 Strong problem-solving and critical thinking skills

Job Duties

 Design and implement optimized data models to support business requirements

 Develop and maintain a data dictionary and metadata repository

 Collaborate with cross-functional teams to understand business requirements and translate them into data models

 Ensure data models are accurate, consistent, and support data governance and data management best practices

 Develop and maintain relationships with data owners and stakeholders to ensure data models meet their needs

 Perform data profiling and analysis to understand data quality and completeness

 Ensure data models are optimized for performance and scalability

 Participate in data architecture design and implementation efforts

 Stay up to date with new trends and technologies in the data modeling field

 Document data models and data architecture artifacts

 Collaborate with cross-functional teams, such as software engineers, to integrate data solutions into the overall technology stack

 Troubleshoot and resolve data-related issues and failures in the production environment.

 Build Source-To-Target mapping documents to enable data engineers to build data pipelines

 Implement data security and privacy controls

 Monitor and optimize the performance of data pipelines

Keywords: green card
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08:23 PM 27-Feb-23


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