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Design solution architectures for the finance systems and platforms ensuring all relevant options are explored for time, cost and compliance to the company s standards, policies and practices whilst meeting the business requirements. The role will coordinate with other/junior architects in the delivery of the solution for clients, shepherding it through the relevant governance.
Key Responsibilities -
Qualification and Skills -
Founded in 2018, Merkle Science is the next generation predictive cryptocurrency risk and intelligence platform that helps crypto companies, financial institutions, and government entities detect, investigate, and prevent illegal activities involving cryptocurrencies. Merkle Sciences proprietary Behavioral Rule Engine enables our tools to go beyond blacklists so that compliance teams may fulfill their local KYC/AML obligations and industry players may stay keep pace with the industrys increasingly complex illicit activities.
Job ID: 108511953
Skills:
Solution Design, Integration, Api Integration, Cloud Technologies, AWS, enterprise application architecture, event processing, data transformation architectures, messaging frameworks, SAP Convergent Mediation, ETL pipelines
Skills:
Oracle Engagement Cloud - Service, cloud-based service platforms, solution architecture principles, Problem-solving
Skills:
Enterprise Architecture, Apis, Integrations, Solution Architecture, Workflow Design, Customer Engineering, Solutions Consulting, Governance Controls, Technical Product Leadership, Security, Scalable Implementation Patterns, data models
Skills:
Data Warehousing, Sap Hana, System Architecture, Sap Bw, Data Modeling, Sap Hana Modeling, BW performance tuning, Open ODS Views, SAP data extraction, SAP Analytics solutions, SAP BW 4HANA, enterprise-scale reporting, InfoObjects, ADSO Composite Providers, SAP BI solution design, Business Intelligence, SAP S 4HANA integration
Skills:
Sql, API design, Tensorflow, MLops, System Design, Pytorch, Data Architecture, Kubernetes, Python, Azure, Docker, OpenAI, Kubeflow, MLflow, AI ML solution architecture, Scikit-learn, AWS SageMaker, data engineering pipelines, Google Vertex AI, cloud-native architectures