Summary
The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure for a healthcare organization. The ideal candidate will have experience in working with healthcare data, including EHR, HIMS, PACS, and RIS. They will also have experience with SQL, Elasticsearch, and data integration tools like Talend.
Please DO NOT APPLY if you have not worked with health data (EHR, HIMS, PACS, and RIS)
Responsibilities
- Design and develop data pipelines to ingest, transform, and load data from various sources
- Develop and maintain data models and schemas
- Implement data security and governance policies
- Monitor and troubleshoot data pipelines
- Work with stakeholders to understand their data needs and develop solutions to meet those needs
Qualifications
- Bachelor`s degree in computer science, engineering, or a related field
- 6 to 8 years of experience in health data ingestion, transformation, and engineering(mandatoryrequirement)
- Experience in working with HL7 and DICOM standards
- Strong expertise in SQL (mandatory requirement)
- Experience with Elasticsearch or similar tool Experience with data integration tools such as Talend (mandatory requirement)
- Experience with cloud computing platforms such as AWS, Azure, or GCP (mandatory requirement)
- Expertise in dealing with at least one of the following (mandatory requirement)
- Text data
- Imaging data with DICOM and preferably CT and MRI experience
- OMICS data (Genomics)
Experience In (preferred)
- 6 to 8 years of experience in Knowledge graph and vectordatabases
- Airflow
Skills
- Excellent problem-solving and analytical skills
- Strong communication and teamwork skills
