Location
Secunderabad | India
Job description
A Data Engineer in Population Health Informatics group will have the following responsibilities:
- Analyze large amount of raw information to find patterns, undertake preprocessing of structured and unstructured data.
- Work with healthcare claims, Electronic Medical Record (EMR), vendor and other healthcare data.
- Lead the development of Python programs that will be used to support population health risk arrangements and government programs.
- Work closely with engineers to read and transform FHIR data into standard form that can be consumed by data pipelines
- Develop the Python data cleanup program and data processing methods for ingesting, processing, storing and reporting with healthcare claims from payers, Electronic Medical Record, vendor, and other healthcare data
- Build Cloud Azure data pipeline and establish data processing standards for the Pop Health Informatics team.
- Help the team build predictive models and experimental design to support Population Health Initiatives.
- Help in designing machine learning solutions, testing and roll-out projects in an Azure cloud environment.
- Work with speed in an Agile framework.
- Identify improvements, develop and design tools that will streamline the service to improve end-user experiences and lower operating costs.
- Partner with Global Engineering teams on shared goals and focus on the outcomes with a collaborative mindset.
Who are we looking for
- 7 years of experience in Data Engineering
- Experience working with healthcare claims, eligibility data and/or Electronic Medical Record billing data
- Proficient in Python object-oriented programming, Python design patterns, python packages, PySpark, SQL, Linux, and Shell scripting.
- Working experience on Databricks
- 3 years of experience on NodeJS
- 3 years on experience in writing complex SQL queries
- Experienced working with Fast Healthcare Interoperability Resources (FHIR) standards
- 2 years of experience on Azure Cloud
- Experience working with large datasets and building data processing platforms
- Good to have familiarity with HL7 and FHIR Implementation Guides (IG)
- Good to have familiarity with APIs
- Excellent interpersonal, verbal and written communication skills.
- Excellent analytical and critical thinking capabilities, problem-solving skills
- BS or MS in Computer Science or equivalent
Job tags
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