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Data Modeler

Infodyne SolutionsCharlotte, NC🇺🇸United States

Why this role stands out

Take your career to the next level by designing high-impact data frameworks for enterprise-scale solutions at Infodyne Solutions, where you will enjoy the perfect balance of professional autonomy and collaborative growth in a flexible hybrid environment. This role is ideal for a detail-oriented strategist eager to refine their skills in complex data architecture and scalable systems, so apply today to start building your future with this innovative team.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationCharlotte, NC, United States
MySQLOracleSQLETLPostgreSQLSQL Server

Job description

Role: Data Modeler

Location: Charlotte, NC (Hybrid)

Job Description:

Required Qualifications

  • Bachelor’s or master’s degree in computer science, Information Technology, Data Management, Engineering, or a related field.
  • 8+ years of experience in data modeling, database design, data architecture, or a similar role.
  • Strong understanding of conceptual, logical, and physical data modeling concepts.
  • Proven experience with relational database design, normalization, denormalization, indexing, keys, constraints, and referential integrity.
  • Experience designing data warehouse and analytical models.
  • Strong knowledge of SQL and database development.
  • Experience with one or more relational database platforms:
    • Oracle
    • Microsoft SQL Server
    • PostgreSQL
    • MySQL
    • Teradata
    • IBM Db2
  • Experience with dimensional modeling concepts, including facts, dimensions, slowly changing dimensions, measures, and hierarchies.
  • Experience working with data integration, ETL/ELT, data migration, and source-to-target mapping.
  • Strong understanding of data architecture principles, data lifecycle management, and enterprise data management.
  • Experience creating data dictionaries, metadata documentation, data lineage, and business glossaries.
  • Ability to interpret complex business requirements and convert them into effective data structures.
  • Experience collaborating with business stakeholders, technical teams, and data engineering teams.
  • Strong analytical, problem-solving, communication, and documentation skills.

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