Job Description
Job Title: Data Modeler
Job Location: Chennai, Coimbatore(On-site)
Work Mode: Onsite
Job Description:
Position Overview:
We are seeking an experienced Data Modeler to join our team. The Data Modeler will be
responsible for designing, developing, and maintaining data models that support our
business needs. This role involves working closely with product owners, SMEs, and data
architects to understand business requirements and translate them into logical and
physical data models. The ideal candidate will have strong experience in dimensional data
modelling and proficiency with Healthcare Domain specifically on the Provider side,
Experience in IBM UDMH model.
Key Responsibilities:
• Data Modelling : Design, develop, and maintain conceptual, logical, and physical
data models to meet business requirements.
• Requirement Gathering: Collaborate with product owners, SMEs, and end-users to
gather requirements and convert them into working documents and models.
• Data Dictionary Maintenance: Maintain the data dictionary of entities and
metadata repositories to ensure accurate and up-to-date information.
• Project Participation: Participate in projects through various phases, ensuring data
models align with project goals.
• Collaboration: Work closely with DBAs to ensure effective data storage, retrieval,
and security.
• Performance Optimization: Prepare logical data models and physical database
designs optimized for performance, availability, and reliability.
Qualifications:
• Experience: Proven experience in dimensional data modelling (conceptual, logical,
and physical data modelling) using IBM UDMH and IDA tool.
• Technical Proficiency: Strong experience with Erwin data modelling tools,
Experience in Infosphere Data Architect is preferred.
• Database Design: Excellent understanding of Dimensional modelling concepts,
database design, and best practices.
• Healthcare Domain: Understanding of healthcare domain and concepts is a must.
• Cloud Solutions: Familiarity with cloud-based data solutions (AWS, Google Cloud)
is preferred.
• Collaboration Skills: Ability to work collaboratively with product owners, SMEs,
data architects, and DBAs.
• Analytical Skills: Strong analytical and problem-solving skills