Data kft állások, munkák it programozás, fejlesztés területen

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing non-systems related Learning process support

Ownership of detection capabilities end to-end from problem framing and data through experimentation to models running in production and telemetry...

• Owning the product strategy and roadmap for MetaDefender Managed File Transfer
• Driving customer adoption and engagement
• Conducting competitive analysis and market research
• Defining and evolving product positioning and messaging
• Collaborating with engineering, UX, and QA teams

• Collaboration with Global Process Owners (GPOs), GBS Operations, and other business stakeholders to understand business processes
• Acting as the primary liaison between business and technical teams throughout process discovery and improvement opportunity identification

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• Triage of customer-escalated bugs and technical questions
• Spotting enhancement requests and routing accordingly
• Joining ad hoc customer calls with Customer Experience, Sales, and Solution Engineers to troubleshoot live issues
• Diagnosing escalated issues

• SAP S/4HANA Finance implementations using SAP Activate
• FI configuration including GL, AP, AR, AA, Banking, Closing
• Translation of business requirements into SAP S/4HANA solutions
• Collaboration with cross-functional teams for process integration

• SAP IS-U solution support for core utility business processes
• Learning functional and technical tasks including functional analysis, SAP IS-U customizing, testing, documentation, and ABAP-based development

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Ownership of backend services throughout their lifecycle including design, implementation, testing, deployment, operation, and continuous improvement
• Translation of product and business requirements into maintainable technical designs with clear communication of risks and trade-offs

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing and maintaining AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Coordination and tracking of sales pipeline and business opportunities
• Support of bid and proposal processes
• Follow-up with internal stakeholders and external partners to keep opportunities moving
• Conducting market research and identifying new business opportunities

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Leading a cross-functional Product Driven Organization team in building advanced analytics and cloud-native data products in the EU Sales and CO2 Compliance domain
• Bridging the gap between complex statistical modeling, cloud architecture, and strategic senior executive decision-making

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Leading PDO teams in building solutions and data products
• Bridging the gap between business requirements, complex data streams, and actionable AI/analytical solutions
• Managing the full project lifecycle from backlog grooming and agile coordination to technical delivery and operational deployment

• Development of go-to-market enablement strategy for assigned product portfolio
• Creation of enablement assets including training videos, e-learning paths, talk track guides, podcasts, job aids, and live product demos

• Design, develop, and operate security-critical backend services using Java and Spring Boot
• Build and maintain authentication and authorization services based on OAuth 2.0, OpenID Connect, and modern identity standards
• Apply secure software engineering principles throughout the development lifecycle