Infrastructure Engineering Advisor- Hybrid

Cigna-Evernorth Services, Inc. seeks an Infrastructure Engineering Advisor for our Raleigh, NC location to design and provide engineering support and oversight on Business Intelligence (BI) design, engineering and development of information technology solutions. Responsibilities: • Responsible for complex, multisite, multi domain BI tool activities and integration. • Manage the troubleshooting and resolution of BI infrastructure compatibility issues based on system architecture, project requirements, and customer expectations. • Partner with IT resources on BI engineering related issues and strategies. Responsible for the architecture, engineering and support of the Enterprise BI application environments. • Perform BI Application Suite Architecture and Management. • Gather theater-wide customer requirements, design, and implement system architectures to ensure high availability and low application latency for various BI suite services. • Configure and deploy the entire suite of BI applications to suit customer requirements. • Work with a team of developers to integrate BI services into business process specific web applications. • Manage content, create maps, overlays, and auditing reports as needed. • Manage web infrastructure – IIS, DNS, Https, Domain certificates, Identity Active Directory / LDAP. • Automate routine tasks to manage the BI server environment and de [... source excerpt omitted ...] ctivities to support more senior engineers. • Participate in the planning and implementation of system upgrades and maintenance. • Ensure service availability in accordance with customer-established requirements. • Be escalation point for technical support and troubleshooting efforts. • Hybrid work schedule Qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, or closely related field and 4 years of experience. • Requires experience with: BI Architecture and BI Product Suites (BI Server/Web Portal/Data Store/Desktop Clients); • Product installation with SAS deployment manager on user machines and assisting users in connecting to the SAS servers; [... source excerpt omitted ...] ocesses to increase the efficiency of SAS platforms; • Authentication technologies including Windows Active Directory, LDAP, and Kerberos; • Analysis including Behavioral model, Customer Profiling, Segmentation, Optimizing open-ended offers; • Importing raw data files in excel format in SAS and subsequently creating SAS Datasets and performing data manipulations on the datasets on different Databases including Teradata, SQLSVR, Oracle, and DB2; • Various Statistical Procedures including PROC FREQ, PROC REG, PROC and PROC GLM to analyze data and generate reports; • R Package installations and automating Unix shell scripts to monitor the health of R services; • OBIEE migratio