• US Citizen

• Green Card

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 1st Apr 2024

Integration with Clinical Data: Collaborate with internal teams to establish links between claims data and the internal Encounter ID present in clinical datasets.
Patient Data Normalization: Work towards normalizing patient information by developing a consolidated patient ID system, aligning with industry best practices.
Guidance on Design Patterns: Provide expertise in healthcare data architecture, offering guidance on the best design patterns for organizing claims data within the AWS environment.
Collaboration: Work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand requirements and incorporate feedback into the data architecture.
Documentation: Create and maintain comprehensive documentation of the data architecture, design decisions, and implementation details.
Performance Optimization: Implement strategies for optimizing data retrieval and processing, ensuring the system meets performance and efficiency standards. Qualifications:
Deep Claims Experience: Significant experience working with claims data in the healthcare sector.
Data Architecture Expertise: Proven track record in designing and implementing data architectures, particularly in AWS environments, with a focus on Amazon Redshift.
Healthcare Vertical Knowledge: In-depth understanding of the healthcare industry, including familiarity with industry standards, regulations, and best practices.
Project Management Skills: Ability to manage project timelines, milestones, and deliverables effectively.
Collaborative Mindset: Strong interpersonal and communication skills, with the ability to work collaboratively within a remote team.
Problem-Solving Skills: Demonstrated ability to analyze complex problems and propose effective, scalable solutions.
Coding Proficiency: While not a coding-focused role, proficiency in relevant languages (e.g., SQL) is beneficial. Note: This is not just a coding position; we are seeking individuals with a strong background in healthcare data architecture and a demonstrated ability to guide design decisions in this domain.