marts Experience in Data Vault and Dimensional modelling techniques Experience working in a high availability in an Azure environment Technical Competencies Hands-on experience with some of the following disciplines: Wherescape RED SQL Server Data Vault modelling Dimensional modelling Transact SQL Automation/Scheduling
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka
machine learning, statistical and mathematical models to solve business problems and enable the effective technologies and model data preparation. Responsibilities: Build statistical models Manage the development Define strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement validate the effectiveness of the models Monitoring/Calibration of models Effective self-management and teamwork
deploying BI solutions (e.g., data warehousing models) and creating visualizations and reports for requested in SQL, SSRS, Excel Work with the team in data modelling, database design, creating efficient SQL for fast Production experience working with at least modern modelling tools - on premise and / or in the cloud (e.g Analytics) Production experience working with DAX modelling measures (e.g. Power BI, Analysis Services, DAX
full of energy and ambition, hands-on and not afraid of making your hands dirty, this is the right position
high performance, apply now Responsibilities: Modelling of complex business problems. Identifying opportunities automated controls. Identify and build appropriate models/other solutions for use in the company's operations
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
support high performing ML algorithms, predictive models and support real-time data visualisation requirements Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
/ statistical models to enable data driven decision making. Identify appropriate models / algorithms to
and guiding people, and you have a passion for hands on development, then you're the type of person we're