Owns the full lifecycle of cloud-native data and AI products in Azure, including ingestion, pipelines, modeling, analytics, APIs, dashboards, AI/LLM enablement, deployment, monitoring, and optimization. The role uses Python, FastAPI, Databricks, Azure Kubernetes Service, Azure OpenAI, SQL and NoSQL databases, and front-end technologies to deliver governed, reusable, business-ready data products.

Acts as a SimCorp Dimension subject matter expert, gathering requirements, configuring modules, supporting implementations, managing data integrations, and resolving system issues. The role covers investment lifecycle workflows, testing, documentation, training, process improvement, and stakeholder communication across business, technology, vendor, and client teams. Candidates need financial industry experience, strong SimCorp expertise, knowledge of financial instruments and IBOR/ABOR concepts, SQL proficiency, and familiarity with ETL and integration technologies.

Develop and maintain GIS web applications, geospatial services, enterprise integrations, automation tools, and spatial-data solutions. The role uses ArcGIS, Python, SQL, Azure, modern web technologies, and big-data platforms to support timberland, agriculture, forestry, and land-management operations. Responsibilities include geospatial analytics, mobile and offline field workflows, data validation, access governance, production troubleshooting, and CI/CD deployments. The developer collaborates with business and technical stakeholders to translate geospatial requirements into secure, scalable solutions.