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Data Modeler

Irving, Texas | Technical
Job ID: 117832
Listed on 5/10/2022
Data Modeler

Job summary: 
Our client is looking for a skilled data modeler who will be responsible for designing, implementing and documenting data architecture and data modeling solutions. This will include the use of relational, dimensional, and NoSQL-Hive databases.

The KellyMitchell Group is a premier technology consulting company dedicated to matching the most qualified IT professionals with top organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. 

KellyMitchell has been recognized for the past seven years by ClearlyRated and Staffing Industry Analysts for “Best in Staffing - Client Satisfaction.” These awards are coveted by the top 1% of workforce solutions firms in the industry based on client feedback and appreciation.  Come work with us! 

  • Implement business and IT data requirements through new data strategies and designs across all data platforms (relational-MSSQL Server, dimensional, and NoSQL-Hive) and data tools (reporting, visualization, analytics)
  • 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
  • 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 and translate business needs into data models supporting long-term solutions
  • Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
Skills and Qualifications: 
  • 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS-MS SQL Server, dimensional, NoSQL-Hive) data platform technologies, and ETL and data ingestion protocols)
  • Experience with data warehouse, data lake, and enterprise bigdata platforms required
  • Working experience with MS SQL server and Bigdata-Hadoop required
  • Good knowledge of metadata management, data modeling, and related tools