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Data Platform SRE Engineer

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Description • Adopt industry leading big data technologies, like Spark, Hadoop, Kafka, Databricks, Talend, Azure Cloud Services into P&G data platform, which enables data ingestion, ELT, data service and algorithm training • Define, analyze and improve Platform Service Operations metrics and ITIL Service Management processes executed by various teams. • Collaborate with Security Engineer improve Compliance metrics • Recommend new or improve existing Platform Best Practices and Platform Technical Capabilities and onboarding various application teams to use them - via staying on top of Cloud industry trends, as well as standards, recommendations and tools from central P&G architecture, network, security, integration and other teams. • Develop automation scripts (e.g. PowerShell, Azure Automation) to optimize cost, capacity and performance, drive compliance, or to understand Platform health • Work with PG Corporate & Application teams, Cloud Service Partners and other vendors to understand, verify, improve and fix as needed shared Platform capabilities across D&A applications. • This includes L3 support for major capability critical incidents (generally during work hours, for not-handed-over capabilities or most critical situations it rarely requires outside of work hours actions) and "deep" Problem Management support
Qualifications: • Familiar with industry capability/products like HDInsight, Cloudera, Databricks, Spark, Hadoop, Flink, Airflow, Talend, MPP Database, etc. • Required strong technical skills and proven experience in each of the following areas: • PowerShell and/or Linux environment and shell (bash) scripting • Understanding strengths and weaknesses of Azure PaaS services (experience in big / sophisticated deployments) • Azure related logging, Monitoring, Alerting systems (Cloud Native tools, Log Analytics & Kusto Query Language, Azure Diagnostics, Metrics, Event Logs, Application Logs), or Cloud Native LMA tools stack (like Prometheus, Thanos, Graphana, Moogsoft, Loom) • Management or leadership skills / experiences • Ability to quickly penetrate technology areas and ask appropriate and important technical questions. • Industry Certifications (ITIL, DevOps, Azure Developer Associate / Azure Architect / Azure DevOps / Azure Security) • Masters big data platform, AI technology, cloud BI & Analytics relevant capabilities. • Expertise working in global multifunctional team on Cloud Platforms • Big Picture understanding of PG IT organization and its Services.
Job locations:
Guangzhou, Guangdong, Chinese Mainland - Greater China
Job Type: Full Time Job categories: Information Technology Req No: CN38QE
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