Hello,
I hope you are doing well!
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Comfortable with this Position then please share with me your updated resume
Title: Data engineer with FHIR and HL7
Location: 100% Remote
Duration: 12 Months
Video interview
Visa: no H1B/Cpt
Healthcare Domain exp required
We are looking
for a Data Engineer (7+ years of experience) with strong expertise in FHIR,
Python, SQL, and Power BI, preferably from a healthcare data background.
The role
involves building scalable ETL pipelines to migrate complex FHIR data
structures into SQL (Postgres) for analytics and reporting.
Mandatory
skills
- Strong hands-on experience with FHIR standards and data
structures.
- Proficiency in Python for data engineering tasks.
- Expertise in SQL and data analytics.
- Experience with Power BI for data visualization and
reporting.
- Solid understanding of ETL processes and data pipeline
architecture.
- FHIR -> SQL Data migration
- Since standard commercial reporting tools do not support
querying from FHIR, we are looking to replicate our FHIR data into a SQL
(Postgres) data structure
- There are many complexities in this transition including:
Handling repeating (and nested repeating) structures in FHIR (e.g., do
some specific rows get promoted to the top of the structure? Do you create
child tables for these? Do you keep the JSON structure in a field in the
target schema?), Multiple coding on the same concept, Denormalization for
performance reasons
- The technical approach is to use Python to transform the data
with reusable script segments for different FHIR data types
- The logical work is to make the choices above informed partly
by reporting priorities above
- Experience in healthcare data systems or interoperability
standards.
Good to
have skills: -
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) is a
plus.
- Strong problem-solving and communication skills
Responsibilities:
-
- Design, develop, and maintain scalable data pipelines to
extract, transform, and load (ETL) data from FHIR APIs into SQL databases.
- Work closely with stakeholders to understand data
requirements and ensure data quality and integrity.
- Develop analytics solutions and dashboards using Power BI to
support business insights.
- Optimize data workflows and troubleshoot data-related issues.
- Collaborate with cross-functional teams including data
scientists, analysts, and business users. .
- Drive project and technology goals in compliance with
organizational objectives.
Thanks & Regards,
Anuj Tiwari
US IT RECRUITER
Source Infotech Inc.
3840 Park Avenue, Suite C-205, Edison,
NJ-08820
Email: anuj....@sourceinfotech.com