Data Modeler
RYTE Corporation, Kazakhstan
Job Description
About Us:
We’re a team of physicians, healthcare executives, data scientists, and AI experts committed to empowering anyone, anywhere with the insights they need to make well-informed, healthcare decisions. Through the combined power of AI and big data, we have created the first all-in-one solution that provides our users with everything they need to know about medical professionals and facilities. RYTE transforms the comprehensive data we collect on millions of doctors and hospitals worldwide into knowledge that helps individuals and organizations navigate healthcare systems. We believe that a specialist who may be a perfect match for some situations may not be for others. Therefore, we developed a platform that helps you make the right choices for you, not for others. It doesn’t matter whether you’re an individual seeking the best fit of doctors for your specific problem or an organization in need of knowledge of healthcare providers for your specific needs, RYTE has you covered.
Are you passionate about making information easier to access, more meaningful, and more accurate? Do you seek perfection in data definition, cataloging, taxonomy, and ontology? Are you seeking a challenging environment where you will participate in building a unique Health Data project? Please consider this position for your next professional challenge.
We are looking for a Data Modeler who will design, manage, and maintain various data models in Healthcare and ensure they are accurate, consistent, and up-to-date. You will work in a team with Data Scientists, Data Engineers, and Data Analysts to deliver the requirements.
A data modeler plans, designs, implements, supports, and documents data architecture and data modeling practices and data-driven solutions based on relational, dimensional, and NoSQL databases.
We are looking for a Data Modeler who will collaborate with data curators and data engineers to deliver Health Big Data cloud solutions:
- Job Titled: Data Modeler
- Experience Level: Mid-Level
- Language: Russian (fluent), English (fluent), and other languages are a plus.
- Education: Master's degree
- Schedule: Full-Time (8-hours,12 p.m. - 09 p.m., 1 hour is lunch), Monday to Friday
- Location: Astana office in Kazakhstan
- Offline: Office only
- Reports: You will be under the supervision of the Senior Data Modeler and working with Healthcare Data Analysts (MD), Business and Data Analysts, Systems Analysts, Data Engineers
Primary Responsibilities:
- Database and data-warehouse structure design (creating conceptual, logical, and physical data models as Entity-Relationships Diagrams - ERD, and their descriptions).
- Searching, information gathering, analysis, comparing, choice rationale on enterprise data modeling tool and its implementation.
- Defining and governing data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Oversee and govern the expansion of existing data architecture and optimize data query performance via best practices. The candidate must be able to work independently and collaboratively.
- Implementing business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
- Working with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
- Identifying the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Hands-on modeling, design, configuration, installation, and performance tuning.
- Development of analytical methodologies for getting business insights
Requirements
Job Experience Requirements:
- At least 3 years working within a data management role (data modeler; database designer; data analyst; metadata creator/generator/editor; business intelligence consultant or other related roles)
- Advanced experience with data analysis, data catalog, and data modeling
- Experience with managing/preparing data sets for use in analysis, modeling, or business operations
- Experience in health insurance or the healthcare industry is preferred, but those with relevant experience in other industries are a plus.
- Experience with medical and/or biomedical data, ontologies, standards, and models is a plus
- Experience working with various compliance standards and requirements (GDPR, HIPAA, ISO standards) is a plus
Education Requirements:
- Master's degree in Data Analytics, Data Engineering, Computer Science or Information Technolo