Job Description
Key Responsibilities: - Design, build, and maintain batch and real-time data pipelines for time-series healthcare data. - Collaborate with cross-functional teams to understand data requirements and translate them into engineering solutions. - Manage and optimize data ingestion, processing, and storage using modern data engineering tools. - Develop and maintain data models, databases, and data lakes to support analytics, reporting, and ML workflows. - Implement monitoring, alerting, and observability systems to ensure data quality and uptime. - Work with DevOps and ML Ops teams to deploy and monitor data services in production. - Ensure compliance with healthcare data security and privacy standards (HIPAA, SOC2, ISO27001). - Proactively identify and resolve performance bottlenecks in data pipelines. Skills: Machine Learning, Gcp, Nursing, Consulting, Analytical Experience: 3.00-6.00 Years
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