Social network you want to login/join with:
* Hybrid working – 3 days in office (mandatory)
* Day rate or FTC salary options available
An interesting opportunity for an experienced Applications Engineer with knowledge and application of Quantum, Cloud Computing, Linux and/or VDI.
Our client, an established and reputable IT Consultancy provider, seeks an Applications Engineer well versed in data source analysis, operating systems, and a subject matter expert in Splunk.
Ideal candidate will:
* Have a background in Desktop Support or Desktop Engineering
* Come from a technical background with Windows Operating Systems, MacOS/iOS, Linux, etc.
* Understand Pandas and Spark; strong written and verbal communication skills & relationship building skills
* Be extremely detail-oriented and capable of working within a timely manner
Roles and Responsibilities:
* Be an expert in creating custom dashboards and alerts
* Serve as SME in creating, developing, and running reports in Splunk
* Analyze data sources for efficacy and efficiency, providing insights to optimize ingestion and data parsing/normalization
* Analyze Operating Systems (Windows, Linux, macOS, etc.), Network Devices (firewalls, routers, etc.), Applications, and provide recommendations and/or implement solutions to optimize quality of service
* Design and implement monitoring solutions
* Add customer context, analyze data to detect false positives, develop trends and data models
* Produce customized alerts, dashboards, and reports to track performance metrics
* Develop and optimize search queries, alerts, reports, and dashboards for performance and scalability
* Query Splunk and other data sources to surface trends indicative of issues with underlying infrastructure or applications
* Validate log sources and indexed data, search through data to optimize search criteria
* Document all actions taken as part of investigations and work closely with other teams to support the problem management process
Position Requirements:
* Relevant experience of 2+ years with Splunk and familiarity with uberAgent
* Capabilities in Pandas and Spark; strong
* Experience in incident and problem management
* Skills in identifying false positives, developing trends, and data models
#J-18808-Ljbffr