Job Description

Sr.   Data   Modeler

Charlotte, NC

Full-time

Key Skills Required:

• Data   Modelling: Extensive experience in   data   modelling, including conceptual, logical, and physical   data   models.
  
• DRB ( Data   Resource Book): Strong experience with DRB methodologies and tools.
  
• Data base Design: Proficiency in   data base design and development, including normalization, indexing, and partitioning.
  
• SQL: Advanced SQL skills for querying and managing   data bases.
  
• ETL Processes: Knowledge of ETL (Extract, Transform, Load) processes and   data   integration techniques.
  
• Data   Warehousing: Experience with   data   warehousing concepts and best practices.
  
• Tools: Proficiency in   data   modelling tools such as Erwin, IBM InfoSphere   Data   Architect, or similar.
  
• Big   Data   Technologies: Familiarity with Big   Data   technologies such as Hadoop, Spark, and NoSQL   data bases is a plus.
  
• Good understanding of Cloud (AWS/GCP/Azure)
  
• Good understanding of   data   governance,   data   management,   data   engineering,   data   visualization concepts and tools used in the industry.
  
• Collaboration: Excellent communication and teamwork skills for collaborating with business analysts,   data   architects, and developers.
  

Responsibilities:

• Design and develop robust   data   models to support business requirements, ensuring consistency, quality, and accuracy.
  
• Utilize DRB methodologies to create and maintain comprehensive   data   resource books.
  
• Collaborate with business analysts and stakeholders to gather and interpret requirements, translating them into effective   data   models.
  
• Develop and optimize   data base schemas, ensuring efficient   data   storage and retrieval.
  
• Support ETL processes and   data   integration initiatives, ensuring   data   consistency and integrity across systems.
  
• Implement   data   warehousing solutions, supporting reporting and analytics needs.
  
• Ensure compliance with   data   governance policies and standards.
  
• Conduct   data   profiling and analysis to identify and resolve   data   quality issues.
  
• Provide guidance and mentorship to junior   data   modeler s and   data   engineers.
  
• Stay updated with industry trends and advancements in   data   modelling and   data base technologies.
  

Requirements

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
  
• 15+ years of experience in   data   modelling,   data base design, and   data   management.
  
• Strong experience with DRB methodologies and tools.
  
• Proficiency in SQL and   data   modelling tools such as Erwin or IBM InfoSphere   Data   Architect.
  
• Solid understanding of   data   warehousing concepts and ETL processes.
  
• Excellent analytical and problem-solving skills.
  
• Strong communication and interpersonal skills.
  
• Ability to work effectively in a team-oriented, collaborative environment.
  
• Familiarity with Big   Data   technologies is a plus.
  

Benefits

Standard FT benefits

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