Senior Healthcare Data Architect
7 days ago
About Intellect Resources
We are a leading provider of innovative data solutions, committed to delivering high-quality services that meet the evolving needs of our clients.
Salary: $120,000 - $150,000 per annum
Job Description:
Data Engineer RoleAs a Data Engineer at Intellect Resources, you will play a critical role in designing and developing system-based solutions that support clinical, financial, and operational processes. You will work closely with healthcare analytics staff to create and support ETL processes, data marts, databases, and reports, with a focus on healthcare data.
Key Responsibilities:
- Design, develop, and maintain data pipelines to support healthcare analytics initiatives.
- Collaborate with cross-functional teams to gather data requirements and ensure data is available and reliable for analysis.
- Implement and optimize data integration solutions for various healthcare data sources, maintaining accuracy and efficiency.
- Tune and optimize existing data infrastructure to improve performance and scalability.
- Ensure all data processes comply with healthcare privacy and security regulations.
- Identify and resolve data-related issues to maintain data integrity.
- Create and maintain thorough documentation of data engineering processes and workflows.
- Explore and implement emerging technologies to enhance data engineering capabilities.
Required Skills and Qualifications:
- Bachelor's or higher degree in Computer Science, Information Technology, or a related field.
- 3+ years of data engineering experience, particularly with healthcare data.
- Proficiency in SQL and SSIS for ETL processes (SQL expertise is essential, especially in Microsoft T-SQL).
- Epic or EHR experience is a nice-to-have, especially for those familiar with healthcare data standards like HL7 and FHIR.
- Experience with SQL and specific data handling tasks: Strong expertise in handling specific types of SQL tasks, as technical depth in this area is critical.
- Proficiency with data warehousing and data modeling, with familiarity in Python or Java.
- Experience with data integration and visualization tools such as Talend, Power BI, and SSRS.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to manage multiple projects simultaneously and adapt to changing priorities.
Benefits:
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