Healthcare Data Architect
2 days ago
At TMCI, we are seeking a skilled Data Engineer to join our team. This role offers a unique opportunity to design and develop data pipelines, databases, and analytics solutions that support data-driven decision-making in the healthcare industry.
As a Junior Data Engineer, you will play a key role in collecting, cleansing, and transforming healthcare data from various sources. Your expertise will help us build efficient data processing and storage systems for enhanced performance and scalability.
We are looking for a talented individual with a Bachelor's degree in Computer Science or Information Technology. Your experience in data modeling techniques, including Data Vault and Star Schema, will be highly valued. Familiarity with cloud platforms like AWS, GCP, or Azure is also desirable.
The ideal candidate will have excellent problem-solving, communication, and teamwork skills. You should be able to communicate complex technical issues clearly and work in a dynamic environment.
Our estimated salary range for this role is $80,000 - $120,000 per year, depending on your experience and qualifications.
About the Role- Data Integration and ETL: Design and build data integration pipelines for collecting, cleansing, and transforming healthcare data from various sources.
- Database Management: Develop and maintain healthcare databases, ensuring data accuracy, reliability, and compliance with industry standards and regulations.
- Data Architecture: Collaborate with data scientists, analysts, and healthcare professionals to design data architectures that enable advanced analytics, machine learning, and reporting.
- Optimization and Performance: Continuously optimize data processing and storage systems for enhanced performance and scalability.
- Data Security and Compliance: Implement robust data security measures to protect sensitive patient information, adhere to healthcare compliance standards, and perform routine audits.
- Data Warehousing: Develop and maintain data warehousing solutions for efficient storage, retrieval, and analysis of large healthcare datasets.
- Data Documentation: Create and maintain documentation for data models, data dictionaries, and data lineage to support transparency and data governance.
- Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, clinicians, and IT professionals, to ensure data infrastructure meets healthcare data requirements.
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