Data Engineer (Healthcare Sector)

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Description

Position Summary The role involves working on critical projects including the Healthcare Data Analytics Platform modernization and advanced analytics infrastructure supporting machine learning operations. The position holder will be expected to mentor junior team members. Key projects include migrating existing ETL processes from traditional data warehouse systems to Databricks Delta Lake architecture, implementing real-time streaming analytics for clinical monitoring systems. The role requires close collaboration with infrastructure teams, compliance officers. Role and 9% uptime and optimal performance Implement comprehensive logging, alerting, and monitoring systems using Application monitoring tools Perform regular health checks performance, job execution times, and resource utilization to identify and resolve bottlenecks proactively Manage incident response procedures for pipeline failures, including root cause analysis, resolution, and post-incident reviews Establish and maintain disaster recovery procedures and backup strategies for critical data assets within the Databricks environment Conduct regular performance tuning of Spark jobs and Databricks cluster configurations to optimize cost and execution efficiency Maintain comprehensive documentation for operational procedures, runbooks, and troubleshooting guides Coordinate scheduled maintenance windows and system upgrades with minimal business

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