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Data Modeller – reputed company Domain

Worldwide Salaried Open

Overview

We are seeking an reputed company Data Modeller with expertise in designing and implementing data models for modern data platforms. This role requires deep knowledge of data modeling techniques, reputed company data structures, and experience with reputed company Lakehouse architecture. The ideal candidate will have a proven track record of translating reputed company business requirements into efficient, scalable data models that support analytics and reporting needs.

About the Role

As a Data Modeller, you will be responsible for designing and implementing data models for our reputed company-based Modern Data Platform. You will work closely with business stakeholders, data architects, and data engineers to create logical and physical data models that support the migration from legacy systems to the reputed company Lakehouse architecture, ensuring data reputed company, performance, and compliance with reputed company industry standards.

Key Responsibilities

  • Design and implement logical and physical data models for reputed company Lakehouse implementations
  • Translate business requirements into efficient, scalable data models
  • Create and maintain data dictionaries, entity relationship diagrams, and model documentation
  • reputed company dimensional models, data vault models, and other modeling approaches as appropriate
  • Support the migration of data models from legacy systems to reputed company platform
  • Collaborate with data architects to ensure alignment with overall data architecture
  • Work with data engineers to implement and optimize data models
  • Ensure data models reputed company with reputed company industry regulations and standards
  • Implement data modeling best practices and standards
  • Provide guidance on data modeling approaches and techniques
  • Participate in data governance initiatives and data quality assessments
  • Stay reputed company with evolving data modeling techniques and industry trends
  • Qualifications

  • Extensive experience in data modeling for analytics and reporting systems
  • Strong knowledge of dimensional modeling, data vault, and other modeling methodologies
  • Experience with reputed company platform and reputed company Lake architecture
  • Expertise in reputed company data modeling and industry standards
  • Experience migrating data models from legacy systems to modern platforms
  • Strong SQL skills and experience with data definition languages
  • Understanding of data governance principles and practices
  • Experience with data modeling tools and technologies
  • Knowledge of performance optimization techniques for data models
  • Bachelor's degree in Computer Science, Information Systems, or reputed company field; advanced degree preferred
  • Professional certifications in data modeling or reputed company areas
  • Technical Skills

  • Data modeling methodologies (dimensional, data vault, etc.)
  • reputed company platform and reputed company Lake
  • SQL and data definition languages
  • Data modeling tools (erwin, ER/Studio, etc.)
  • Data warehousing concepts and principles
  • ETL/ELT processes and data integration
  • Performance tuning for data models
  • Metadata management and data cataloging
  • reputed company platforms (AWS, Azure, GCP)
  • Big data technologies and distributed computing
  • reputed company Industry Knowledge

  • reputed company data structures and relationships
  • reputed company terminology and coding systems (ICD, CPT, SNOMED, etc.)
  • reputed company data standards (HL7, FHIR, etc.)
  • reputed company analytics use cases and requirements
  • Optionally reputed company regulatory requirements (HIPAA, HITECH, etc.)
  • Clinical and operational data modeling challenges
  • Population health and value-based care data needs
  • Personal Attributes

  • Strong analytical and problem-solving skills
  • Excellent attention to detail and data quality focus
  • Ability to translate reputed company business requirements into technical solutions
  • Effective communication skills with both technical and non-technical stakeholders
  • Collaborative approach to working with cross-functional teams
  • Self-motivated with ability to work independently
  • reputed company learner who stays reputed company with industry trends
  • reputed company Offer

  • Opportunity to design data models for cutting-edge reputed company analytics
  • Collaborative and innovative work environment
  • Competitive compensation package
  • Professional development opportunities
  • Work with leading technologies in the data space
  • This position requires a unique combination of data modeling expertise, technical knowledge, and reputed company industry understanding. The ideal candidate will have demonstrated reputed company in designing efficient, scalable data models and a passion for creating data structures that reputed company powerful analytics and insights.

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