Data Modeller Healthcare Domain (Gurugram)

As a Data Modeller, you will play a crucial role in designing and implementing data models for our Databricks-based Modern Data Platform. Your responsibilities will include: - Designing and implementing logical and physical data models for Databricks Lakehouse implementations - Translating business requirements into productive, scalable data models - Creating and maintaining data dictionaries, entity relationship diagrams, and model documentation - Developing dimensional models, data vault models, and other modeling approaches as appropriate - Supporting the migration of data models from legacy systems to the Databricks platform - Collaborating with data architects to ensure alignment with overall data architecture - Working with data engineers to implement and optimize data models - Ensuring data models comply with healthcare industry regulations and standards - Implementing data modeling best practices and standards - Providing guidance on data modeling approaches and techniques - Participating in data governance initiatives and data quality assessments - Staying current 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 Databricks platform and Delta Lake architecture - Expertise in healthcare 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 related field; advanced degree preferred - Professional certifications in data modeling or related areas In addition to the technical skills required for this role, having an understanding of healthcare industry knowledge will be beneficial: - Healthcare data structures and relationships - Healthcare terminology and coding systems (ICD, CPT, SNOMED, etc.) - Healthcare data standards (HL7, FHIR, etc.) - Healthcare analytics use cases and requirements - Optionally Healthcare 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 complex 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 the ability to work independently - Continuous learner who stays current with industry trends What We Offer: - Opportunity to design data models for cutting-edge healthcare 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 healthcare industry understanding. If you are passionate about creating data structures that enable powerful analytics and insights, this role is perfect for you. As a Data Modeller, you will play a crucial role in designing and implementing data models for our Databricks-based Modern Data Platform. Your responsibilities will include: - Designing and implementing logical and physical data models for Databricks Lakehouse implementations - Translating business requirements into productive, scalable data models - Creating and maintaining data dictionaries, entity relationship diagrams, and model documentation - Developing dimensional models, data vault models, and other modeling approaches as appropriate - Supporting the migration of data models from legacy systems to the Databricks platform - Collaborating with data architects to ensure alignment with overall data architecture - Working with data engineers to implement and optimize data models - Ensuring data models comply with healthcare industry regulations and standards - Implementing data modeling best practices and standards - Providing guidance on data modeling approaches and techniques - Participating in data governance initiatives and data quality assessments - Staying current 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 Databricks platform and Delta Lake architecture - Expertise in healthcare data modeling and industry standards - Experience migrating data models from legacy systems to modern pla