MARS Solution Group (formerly MARS IT) is an award-winning organization that is committed to finding the best professional talent to meet your IT & Engineering needs.

MARS Solutions Group was incorporated by a team of highly-skilled software architects with strong business acumens. The company began and grew successfully during the recessionary years of 2008-2010, a time period when many competitors were either shunning the industry or downsizing. Continue reading...

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Data Modeler

Location: Milwaukee/Kenosha, WI
Date Posted: 12-19-2017
MARS Solutions Group is growing and is looking for a Data Modeler for their Data Solutions team. 

  • Serve as the business modeler / data analyst for data projects and initiatives, creating conceptual and logical business models used to generate physical data models and database schema.
  • Identify and document current and future state of data architecture.
  • Research, promote and develop data architecture best practices.
  • Work closely with BA, business and IT teams to clarify and refine functional data requirement specifications.
  • Research, present and accurately articulate benefits and goals of these technologies, such as Big Data, Hadoop, NoSQL, data virtualization and data services.
  • Establish new data standards and processes to support the company's needs.
  • Collaborate with various departments, architects, project managers and technical managers to provide estimates, develop overall implementation solution plan and serve as a lead, when required, to implement solutions.
  • Create effective data models to support both RDBMS and NoSQL based databases.
  • Effectively present / communicate data models to the business, IT and the project teams.
  • Create and maintain a metadata management capability to integrate data dictionaries with the enterprise business glossary.

  • Bachelor's degree.
  • 7 to 10 years experience in data modeling, systems analysis and design.
  • Demonstrated experience in creating medium to large-scale enterprise logical data models using normalization techniques.
  • Experience building enterprise data warehouse and business intelligence solutions.
  • Worked on one or more of the following databases: Oracle, SQL Server, DB2 LUW, Cassandra or MongoDB.
  • Strong experience using at least one of the top data modeling tools, such as ERwin, ER/Studio or PowerDesigner.
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