Job Title: Senior Data Engineer
Location: Remote (US) with very minimal travelExpenses will be covered
Charlotte, NC 28255.
Splunk experience needed
Responsible for building high data quality data pipelines.
Apply Data Engineering principles
Should be able to design ingestion paths for large volume of streaming or batch data from myriad sources and source types.
Should have strong coding experience in AWS Lambda functions, Step Functions or Python
Experience ingesting and processing streams from event streaming platforms such as Kafka, Pubsub, Kinesis or Eventhub.
On-boarding new data sources into Splunk, analyzing the data for anomalies and trends, and building dashboards highlighting the key trends of the data.
Experience creating and managing Splunk knowledge objects (field extractions, macros, event types, CIM, data models etc.)
Experience integrating multiple data streams and feeds from networks, infrastructure services, mission/business applications into a near, real-time dashboard for use in troubleshooting.
Provide Splunk operational troubleshooting support and assist with complex problems of diverse scope where analysis of situation or data requires an in-depth evaluation of various factors.
Experience utilizing both pre-built dashboards/add-ons within SPLUNK system and customized SPLUNK dashboards and search queries.
Superior communication and presentation skills
Syslog/SC4S experience and advanced configuration knowledge
Self-motivated, takes initiative and reliable.
Supports customer efforts by collecting requirements, then proceed to design and implementation phases.
Willing to work in a team-oriented environment with global team members.
Identifying bad searches/dashboards and help to improve performance.
Troubleshooting Splunk performance issues.
Ability to create aesthetically pleasing dashboards