Job Description: Essential Functions of the Job:
· This position is responsible for development, deployment, maintenance, support and administration of the Splunk infrastructure in a highly available configuration for implementing and supporting Splunk systems.
· Follows AWS best practices in designing, architecting and developing solutions
· Understands and maps business requirements of the customers with AWS, Splunk and other technical capabilities
· Excellent communication skills
· Supports Splunk service as a Subject Matter Expert (SME) to align service delivery based on customer and business requirements, by working with end users, vendor and team members.
· Improves analytic and performance capabilities for Splunk and delivers projects associated with logging.
· Provide business insights for product usage, service outage, customer analysis, product feature usage, and product performance / reliability analysis based on data from Splunk
· This position is responsible for development, deployment, maintenance, support and administration of the Splunk infrastructure in a highly available configuration. This position is responsible for implementing and supporting Splunk systems.
Knowledge and Skills Requirements:
· Excellent knowledge in Splunk (Splunk for Analytics and Data Science Certified)
· Experience in building models in R, C++, Java or Python programming languages and libraries.
· Significant Data and Business Analytic skills)
· Experience in building AI and Machine learning models – Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice and Image recognition) and Neural Networks.
· Strong Communication skills and Customer service orientation
· Relevant technical and delivery experience within, or working as a consultant/advisor to, a financial services organization
· Experience in AWS Machine Learning products.
· Programming, scripting and automation skills using Python or other programming languages
· Strong DevOps skills including products such as Github, Chef, Jenkins etc.
· AI, Cognitive and Data Science technologies
· Experience in onboarding new data, users, creating new dashboards and alerts, data extraction report generation and customization in Splunk
Key Skills: Essential Functions of the Job:
· This position is responsible for development, deployment, maintenance, support and administration of the Splunk infrastructure in a highly available configuration for implementing and supporting Splunk systems.
· Follows AWS best practices in designing, architecting and developing solutions
· Understands and maps business requirements of the customers with AWS, Splunk and other technical capabilities
· Excellent communication skills
· Supports Splunk service as a Subject Matter Expert (SME) to align service delivery based on customer and business requirements, by working with end users, vendor and team members.
· Improves analytic and performance capabilities for Splunk and delivers projects associated with logging.
· Provide business insights for product usage, service outage, customer analysis, product feature usage, and product performance / reliability analysis based on data from Splunk
· This position is responsible for development, deployment, maintenance, support and administration of the Splunk infrastructure in a highly available configuration. This position is responsible for implementing and supporting Splunk systems.
Knowledge and Skills Requirements:
· Excellent knowledge in Splunk (Splunk for Analytics and Data Science Certified)
· Experience in building models in R, C++, Java or Python programming languages and libraries.
· Significant Data and Business Analytic skills)
· Experience in building AI and Machine learning models – Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice and Image recognition) and Neural Networks.
· Strong Communication skills and Customer service orientation
· Relevant technical and delivery experience within, or working as a consultant/advisor to, a financial services organization
· Experience in AWS Machine Learning products.
· Programming, scripting and automation skills using Python or other programming languages
· Strong DevOps skills including products such as Github, Chef, Jenkins etc.
· AI, Cognitive and Data Science technologies
· Experience in onboarding new data, users, creating new dashboards and alerts, data extraction report generation and customization in Splunk
Source link
