Familiarity with AppDynamics and how to effectively monitor systems / applications.
Expert in Splunk search language and be able to create and optimize complex big data queries and reports.
Ability to extract data from APIs / applications / systems to provide visibility into application / system health through creative dashboards / reporting.
Expert in Splunk and Splunk Enterprise architecture in order to design, implement, and deliver business solutions efficiently and effectively.
Experience in knowledge object creation and usage across the enterprise, normalization of event data, and management of knowledge objects, data models and developing macros.
Experience with Python and/or other data science languages a plus.
Ability to build business & operational intelligence dashboards and glass tables using Splunk & Splunk ITSI.
Experience implementing solutions using Splunk IT Service Intelligence (ITSI).
Excellent verbal and written communications.
Excellent understanding of how to reliably monitor and alert on critical application issues.
Good understanding of Operating Systems, Networks, hardware and related issues.
Solid ability to analyze results and find the root cause of problems.
Solid ability to identify areas of suspect performance in complex application architectures.
Must be self-motivated and be able to learn and adopt new technologies quickly.
The individual in this role will:
Have in-depth knowledge of the Splunk Query Language and applying it to solve business problems within the ITSFE work program.
Work with the Splunk Admins in all phases of getting data into Splunk (from pre-indexing to post-indexing and statistical data analysis).
Develop python scripts to modify the complex searches with enhanced customized features.
Perform infrastructure / application monitoring & automation within ITSFE systems / applications to gain valuable insights through data and predictive analytics capabilities.
Ability to apply machine learning capabilities to solve complex problems within the ITSFE portfolio.
Assist in data governance & management of data.
Work with various teams to identify and capture relevant logs, assist the infrastructure team with onboarding data related to ITSFE systems / applications, and
Develop use-cases within the ITSFE team to solve business problems and provide valuable insights for decision making.
The monitoring specialist will have the ability to communicate within all levels of staff and provide documentation where necessary.
Aid in application performance tuning and review.
Advise on new system upgrades and implementations.
Experience with HTML, CSS and XML for UI design within Splunk / Splunk ITSI / AppDynamics dashboards for data visualization.
Interface with project leads and developers to design and create new dashboards / glass tables based on business requirements and deliver on time.
Educational Qualifications and Experience:
Bachelor's degree preferably in Math, Computer Science or Engineering.
Minimum 3 years advanced experience in using Splunk, Splunk ITSI, and python for data analytics.
Desired Skills/Abilities (not required but a plus):
Excellent verbal and written communications.
Excellent understanding of how to reliably monitor and alert on critical application issues.
Good understanding of Operating Systems, Networks, hardware and related issues.
Solid ability to analyze results and find the root cause of problems.
Solid ability to identify areas of suspect performance in complex application architectures.
Must be self-motivated and be able to learn and adopt new technologies quickly.
