Job Description
We are looking for a Motivated and potential Data Engineer interested in solving technical challenges and fixing them.
Responsibilities:
Data Architecture Design:
Design and implement scalable, reliable, and efficient data pipelines and infrastructure to ingest, process, and store large volumes of structured and unstructured data, ensuring they meet the evolving needs of our healthcare platform.
Data Modeling:
Develop and maintain data models to support analytics and reporting needs, ensuring data integrity, consistency, and optimization for performance.
Data Integration:
Integrate data from various sources, including internal records and external datasets, ensuring compatibility, consistency, and reliability across all data sources.
Data Quality and Governance:
Implement processes and tools to ensure data quality, consistency, and compliance with healthcare regulatory requirements.
Establish and enforce data governance policies and procedures to safeguard patient data and ensure compliance.
Performance Optimization:
Monitor and optimize data pipelines and systems for performance, scalability, and cost-effectiveness.
Troubleshoot and resolve issues to maintain the seamless operation of our healthcare data platform.
Collaboration:
Collaborate with cross-functional teams, including data analysts, software engineers, and healthcare professionals, to understand data requirements and deliver solutions that meet the specific needs of our healthcare services.
Documentation:
Document data infrastructure, processes, and workflows to ensure knowledge sharing and maintainability, contributing to a culture of continuous improvement and innovation within the team.
Requirements:
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