Problem Resolution Process Experts participate in or lead the achievement of service levels and key measurement targets, ensuring a high quality and cost-effective service focused on accounts payable invoice problem identification and resolution.
Responsibilities
Ensure daily activities are fulfilled properly and timely in accordance with Desktop Procedures and SLA targets
Demonstrate knowledge of processes and procedures and proactively identify improvement opportunities
Process incoming invoices with initial problem identification and resolution
Design, build, and optimize scalable data pipelines and solutions for large-scale data collection, processing, analytics, and operational intelligence.
Responsibilities
Design and build scalable ETL/ELT pipelines
Develop batch and real-time streaming data solutions
Improve platform reliability, monitoring, observability, and performance
Build integrations between internal systems, cloud services, external platforms, and IoT devices
Collaborate with software engineers, analysts, and platform teams to troubleshoot production issues
Senior SAS Engineer / Consultant to support migration, modernisation and engineering of complex enterprise SAS solutions.
Responsibilities
Assess legacy SAS estates, applications, workloads, data flows, integrations and dependencies to determine appropriate migration and modernisation approaches.
Design and deliver migrations from legacy SAS platforms, including SAS 9.x, to cloud-hosted SAS Viya environments.
Analyse existing SAS code and applications to identify compatibility issues, remediation requirements and opportunities for optimisation or redesign.
Develop and implement migration tooling, automation, SAS programs, scripts and associated engineering solutions.
Define approaches for data migration, cleansing, validation, reconciliation, regression testing, parallel running and cutover.
Lead the architecture, support, and continuous enhancement of Salesforce Data Cloud (Data 360), ensuring a scalable, secure, and governed customer data platform.
Compensation
The base compensation range for this role in the posted location is: $101,140-$182,624.
Responsibilities
Design, configure, and support Data Cloud integrations, including Salesforce Data Connectors, Databricks connectors, and Zero-Copy Query Federation across enterprise data sources.
Manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), data harmonization, and identity resolution processes to create unified customer profiles.
Define and implement data governance, security, access controls, consent management, and operational support procedures for production environments.
Partner with Marketing Cloud Next, Salesforce, analytics, and business teams to enable audience segmentation, activation, personalization, and campaign use cases.
Troubleshoot complex production issues related to data ingestion, identity resolution, segmentation, integrations, and downstream activation processes.
ServiceNow-konsulent som jobber med varierte prosjekter innen offentlig og privat sektor, kartlegger kundebehov, konfigurerer og optimaliserer løsninger på ServiceNow-plattformen, og gir rådgivning om automatisering og AI.
Responsibilities
Jobbe med ServiceNow-løsninger for kunder i både privat og offentlig sektor
Kartlegge kundebehov og omsette forretningsprosesser til tekniske løsninger på ServiceNow-plattformen
Konfigurere, videreutvikle og optimalisere løsninger innen ServiceNow-plattformen
Samarbeide tett med kunder, utviklere, arkitekter og andre fagspesialister gjennom hele leveransen
Bidra med rådgivning og anbefalinger om hvordan ServiceNow, automatisering og AI kan brukes til å forbedre arbeidsprosesser og skape verdi
Support et traitement des incidents de niveau 2, scripting et automatisation, expérimentation en intelligence artificielle, manipulation et analyse de données, et amélioration continue des processus.
Responsibilities
Participer au traitement, à l’analyse et à la résolution des tickets de niveau 2
Réaliser les diagnostics techniques et rechercher les causes racines des incidents
Intervenir sur des environnements Linux et Windows
Documenter les solutions et enrichir les bases de connaissances
Développer des scripts pour automatiser les tâches récurrentes
Requirements
Étudiant(e) en dernière année de Master ou d’école d’ingénieurs, avec une spécialisation en informatique, systèmes, infrastructures, data ou domaine équivalent
Ingénieure / Ingénieur QA Senior - Secteurs banque / assuranceNewCapgemini · Issy-les-Moulineaux, France