Aws Security Analytics Engineer

Engineer AWS data pipelines for Sun Life’s Security Analytics team using Python, Glue, and Lambda in a hybrid organization. Strengthen trusted data foundations.As a senior Data Engineer, you will support cloud and Big Data capabilities for security use cases. Your work enables threat intelligence, internal threat identification, business intelligence, and deep-dive analytics. Success requires data management expertise, analytics understanding, and experience working across business, analytics, and IT.Key Responsibilities:
Parse security logs into usable data formatsManage and improve complex data modelsProvide guidance on ETL, quality assurance, and modelingProductionize dashboards, reports, and analytical modelsCollaborate with IT and Information Security teamsRequirements:
Five or more years of relevant data experienceExperience with cloud warehouses, pipelines, and ETL toolsAWS preferred for cloud data engineering experienceData preparation, querying, reporting, and modeling experienceAbility to explain complex concepts across technical audiencesUse AWS engineering, security logs, and analytical data models to advance Sun Life’s data-driven security capabilities.
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