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,
the development and maintenance of best practice models and assessment strategies in line with regulations Seek opportunities to improve business processes; models and systems by identifying and recommending effective through documenting and recording processes and models. Provide insights enabling growth through analytical and logic to program/code. Technical Experience Modelling Techniques and Software Strong Mathematical and
data
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
Scripting, Workflows etc Understanding of Siebel Data Models and Architecture Experience in doing bulk SQL Updates
and other database schema objects. Maintain data model schema within the data warehouse and reporting systems
BI and AI Development Life Cycles