Job Description :
Role:
We at Innovaccer are looking for a Data Engineer that will help us revolutionize healthcare research and analytics. You will be a part of our Customer success team, with plenty of opportunities to interact with project stakeholders at all levels of the organization. Your primary focus will be to use data mining techniques such as machine learning, regression, neural networks etc. to build high quality predictive models that can be used to improve healthcare services and outcomes. You will be required to analyze the US healthcare data holistically to identify trends, evaluate scenarios, and make predictions for future outcomes and value drivers. This is a fast-paced, collaborative and iterative environment requiring quick learning, agility and flexibility.
Responsibilities:
Design, build, and maintain data flow and schema at scale
Participate in design and development of module and data flow and work with Module Leads to ensure design aligns with the overall application architecture standards and practices.
Unit Test and Document the module which you are developing for the product
Work with engineers across the company to build new features in module for the product
Provide solution to complex integration projects.
Ability to handle and drive a project independently.
Identify and provide solutions to challenges frequently encountered during project implementation

Background/Skills Desired
4+ years of experience with strong knowledge in SQL and Linux
4+ years of experience working into US healthcare Interoperability projects using one of the following formats HL7,837, CCD, API, FHIR.
Experience in data migration or ETL process having expertise in migrating data.
Strong fundamentals in software engineering and concepts such as design patterns, test-driven development, build systems and automation in the continuous delivery space
Strong fundamentals in Data Structure and Algorithms, Distributed System
Aggressive problem diagnosis and creative problem-solving skills.
             

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