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Data Platform Engineer

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Description • Cultivate large scale analytical use cases delivering exponential value by designing and delivering advanced analytics solutions at scale (including Petabyte scale solutions) • Use industry leading Big Data technologies growing productivity of models delivery by deep domain expertise, being a one stop shop and E2E accountable for scale up, hiding complexity of IT. • Deliver right solution architecture, automation and technology choices starting from experimentation and proof of concept phases of new analytical models.
Qualifications: • Familiar with industry big data platform stack like HDInsight, Cloudera, Databricks, Spark, Hadoop, Flink, Airflow, Talend, MPP Database, etc. • Required strong technical skills and demonstrated experience in each of the following areas: 1. PowerShell and/or Linux environment and shell (bash) scripting 2. Understanding strengths and weaknesses of Azure PaaS services (experience in big / complex deployments) 3. 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 (Prometheus, Thanos, Graphana, Moogsoft, Loom) • Management or leadership skills / experiences • Ability to quickly penetrate technology areas and ask appropriate and meaningful technical questions.
Job locations:
Guangzhou, Guangdong, Chinese Mainland - Greater China
Job Type: Full Time Job categories: Information Technology Req No: CN58V8
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