Based in Centurion with a generous hybrid working model. Description The Data Engineer will have a knack for data analysis, data manipulation and data modelling and will be responsible for understanding and Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modeling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
and Datawarehouse Architecture development Data modelling including solid ETL, designing and building packages Warehousing / BI Development Experience with data modeling, data anlaysis, data profiling, data mapping and
REQUIREMENTS: - SAP BW4/HANA Data Modelling skills is essential - SAP BW 7.5 Data Modelling and BEX skills are essential collaboration · Application of the Agile Working Model Methodology Monthly
warehousing projects. Strong understanding of data modelling concepts and techniques. Proficiency in SQL and for improvement. Data Modelling Assist in the design and development of data models that support business data engineers to create logical and physical data models for the data warehouse. Data Profiling and Analysis documentation for data warehouse requirements, data models, and processes. Ensure documentation is kept up-to-date
warehousing projects. Strong understanding of data modelling concepts and techniques. Proficiency in SQL and for improvement. Data Modelling Assist in the design and development of data models that support business data engineers to create logical and physical data models for the data warehouse. Data Profiling and Analysis documentation for data warehouse requirements, data models, and processes. Ensure documentation is kept up-to-date
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention
in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention