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Golden Technology

Data Engineer Level 2

Golden Technology, Cincinnati, Ohio, United States, 45208

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The Data Engineer will build and manage the consumption of pharmacy data into the health and wellness data analytics platform, ensuring data is organized, successful, and usable for advanced analytics. Job Description

The Data Engineer will build and manage the consumption of pharmacy data into the health and wellness data analytics platform, ensuring data is organized, successful, and usable for advanced analytics.

Required Qualifications

Strong understanding of pharmacy, clinical, and healthcare data Several years of experience in data modeling Proven experience in data modeling within healthcare/pharmacy industries Advanced technical skills in data integration and analytics platforms Ability to work with complex, multi-source healthcare datasets Experience working with data architects, data analysts, and business stakeholders Snowflake platform knowledge a plus Excellent problem-solving and analytical skills Experience in Agile or Scrum environments Several years of experience in data modeling Knowledge of ETL or ELT processes Attention to detail and commitment to data accuracy Strong communication and collaboration skills with both technical and non-technical stakeholders.

Key Responsibilities

Develop conceptual, logical, and physical data models Integrate diverse pharmacy data sources into the analytics platform Define data structures, relationships, and storages strategies within database Optimize models for performance and scalability Maintain data model documentation, including data dictionaries and metadata Establish and enforce data modeling standards and best practices Document and communicate data models Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Contract Job function

Job function

Information Technology Industries

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