architecture and requirements collaboratively Craft data models and schemas tailored to meet business objectives data architecture principles Expertise in data modelling and database design Understanding of data governance
consumers
Data consumers transform data to a common data model for reporting and data analysis, and to provide Bricks) Data Modelling and Schema Build: In collaboration with Data Modelers, create data models and database Collaborate with Data Analysts, Software Engineers, Data Modelers, Data Scientists' Scrum Masers and Data Warehouse Programming (Python, Java, SQL) Data Analysis and Data Modelling Data Pipelines and ETL tools (Ab Initio, ADB,
determined by a risk-based approach and so the key risks facing the Group, including subsidiaries, and the requirements
optimizing APM across platforms and service delivery models. The primary focus is on APM toolsets for proactive in Cloud IaaS and PaaS models. - Devise an authentication and authorization model for AppDynamics within
security regulations and API integrations. Craft data models and schemas tailored to meet business objectives
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS and designing solutions and good knowledge of data modelling concepts Experience of working in a team following
Strong understanding of CRM data models, workflows, security models, and APIs. Experience with web development
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB
and other database schema objects. Maintain data model schema within the data warehouse and reporting systems