Responsibilities: Demonstrate expertise in data modelling Oracle SQL Exceptional analytical skills analysing Code Build/Pipeline CloudFormation Technical data modelling and schema design (“not drag and drop”) Kafka
database- and data warehouse modeling skills, in order to understand the data warehouse data models. Terra Data
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS Experience designing solutions and good knowledge of data modelling concepts Experience of working in a team following
similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization
robust and trustworthy data to support high performing ML algorithms, predictive models and support real-time Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
robust and trustworthy data to support high performing ML algorithms, predictive models and support real-time Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
science and business intelligence teams to develop data models and pipelines for research, reporting, and machine quality usable data to data analysts and BI analysts for reporting. Develop models that can be used to make
applications. Architecture and Interface Design. Data modeling and Database technologies (relational, document
warehouses and data marts Experience in Data Vault and Dimensional modelling techniques Experience working in Wherescape 3D Wherescape RED SQL Server Data Vault modelling Dimensional modelling Transact SQL Automation/Scheduling
results Data Visualization Modify rule-based scorecards, frameworks and algorithm tuning Expose models and available data (Logistic regression, random forest, etc) Ability to train and maintain models Data cleaning targets (Not just including raw data) Experience in correctly applying model performance approaches in the