Information Technology_USA - USA_Business Development Manager

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES

/hr - flexible for quality profiles

PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413

MSP Owner: Shilpa Bajpai
Location: Irving, TX -100%ONSITE
Duration: 6 months
skill id: 10686150

Data Engineer- PySpark/Apache Flink
Skills: Digital : Python for Data Science~5G Wireless Networks
Experience Required: 8-10

Role Descriptions: Data Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systemsKey responsibilitiesData Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systems
Essential Skills: Data Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systemsKey responsibilitiesData Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systems
Desirable Skills:
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