3 jobs found in Chicago, IL

BigPanda AIOps SME Java developer chicago, il Migration Role: BigPanda AIOps Engineer / SME Location: Chicago, IL On-site   Role Objective Lead and execute the migration from IBM NetCool (OMNIbus) to BigPanda, modernizing legacy event management into an AIOps-driven incident intelligence platform with reduced alert noise, improved correlation, and tighter ITSM integration.   Scope of Work • Assess current IBM NetCool setup (ObjectServer, probes, enrichment, correlation rules) • Design and execute NetCool ? BigPanda migration (phased or controlled cutover). • Configure BigPanda ingestion, normalization, deduplication, enrichment, and correlation. • Integrate BigPanda with monitoring tools and ITSM (e.g., ServiceNow). • Tune correlation patterns to reduce noise and improve incident accuracy. • Support testing, go live, hypercare, and operational handover.   Must Have Skills (Screening Mandatory)...

Commissioning Manager  Data-Center  chicago, il  client looking to hire a Commissioning Manager for their > Data-Center construction projects in Chicago and the surrounding > areas. >  > They are looking for someone with at least 5-6 years of experience > running full commissioning cycles (L0-L6) on data-center projects. >

Manager, Data Engineering and Analytics Naperville, IL Job Type: Permanent Compensation: $120,000 - 150,000 Annually JobID: 2167064-EQG Description client that is seeking a Manager, Data Engineering and Analytics in Naperville, IL. Key Tasks: Owns the Solution Architecture and ensures best practices and internal processes are followed when solutions are designed and implemented Create and own standards and templates to streamline the data pipelines and engineering processes Collaborate with cross-functional teams for effective management of the Data and Analytics environment Lead engineering teams in timely delivery of products working closely with product and stakeholders Manage identification of data sources, provide data flow diagrams, and document source to target mapping and process Effectively lead and collaborate with engineering and database teams respectively to manage the data warehouse performance by optimizing batch processing through parallelization, performance...