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Data Engineer (AWS, Databricks)

7,000 SGD · период не указанSingapore, SGСкор 65/1002нед назад
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
Pipeline Damage Prevention ManagementHospital Information Systemmaintenance upgradesComputer EngineeringSystem Health Checksimplementing monitoring toolsData PipelineLog ManagementOperational DocumentationRoot Cause AnalysisDatabricksComputer Science
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Описание
Role and Responsibilities Operational 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 impact • Manage user access controls, workspace configurations, and security policies within Application environments Requirements / Qualifications Education & Experience: • Degree in Computer Science or Computer Engineering • Minimum 5 years working experience in system operations compliance and management areas • Project hands-on experience specifically with AWS platform (primary requirement) • Project experience in cloud operations or cloud architecture • Must be cloud certified (AWS) Core Technical Skills: • Pro
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