Senior Data Modeler - Insurance & Data Warehouse (Contract)

Tech Mirrors; Cary (NC); On-site; USD 110,000 - 160,000; Full time

Job summary

Tech Mirrors is seeking a Data Modeler to design and optimize data models for complex business requirements in Cary, NC on a contract basis. The role involves translating business needs into conceptual, logical, and physical data models and collaborating with development teams for efficient data usage.

The ideal candidate has extensive Erwin expertise, strong SQL and data warehousing knowledge, and experience with MapReduce, NoSQL, and Azure cloud approaches.

Qualifications

• Bachelor’s degree in Computer Science or related discipline.
• 8-12 years work experience in database design, including at least 3 years’ experience as a Data Modeler using Erwin.
• EXPERT Erwin data modeling skills is must.
• Thorough mastery of logical and physical data modeling.
• SQL DB technology in multiple platforms.
• Experience in Insurance and Data warehouse knowledge.
• Experience with MapReduce programming models.
• Emerging No‑SQL and Azure Cloud DB approaches and challenges.
• Leadership and ability to influence others.
• Excellent oral and written communication.
• Analytical and investigative data modeling ability.

Responsibilities

• Under minimal supervision, analyze complex business requirements, translate them to data requirements and develop conceptual, logical and physical data models
• Partner with development teams to ensure best design solutions for most efficient use of data
• Manage plan, organize, and implement multiple and complex data and information design tasks
• Help devise standards and processes, to adjust for rapidly changing technologies and environments

Skills

Erwin

SQL DBs

Insurance domain

Data warehousing

MapReduce

NoSQL

Azure DB

Leadership

Communication

Education

Bachelors in CS or related

Tools

Erwin

Job description

Tech Mirrors is seeking a Data Modeler to design and optimize data models for complex business requirements in Cary, NC on a contract basis. The role involves translating business needs into conceptual, logical, and physical data models and collaborating with development teams for efficient data usage.

The ideal candidate has extensive Erwin expertise, strong SQL and data warehousing knowledge, and experience with MapReduce, NoSQL, and Azure cloud approaches.