warehousing projects.
and Optimisation. Database Management Create Data Models in a Structured data format to enable analysis components of the data tables, data queries and data models. Identify valuable data sources and automate
warehousing projects and a strong understanding of data modelling concepts and techniques Qualifications: Bachelors their knowledge KPA's: Requirement analysis Data Modelling Data profiling and analysis Documentation Quality
ensure database integrity, and develop custom data models. Key Responsibilities: Data Analysis : Analyze database technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation:
ensure database integrity, and develop custom data models. Key Responsibilities: Data Analysis : Analyze database technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation:
strong understanding of database technologies, data modelling, and optimisation techniques. The successful systems to meet the organisation's needs Develop data models and optimise database performance Ensure data database management systems Experience with data modelling, performance tuning, and optimisation Strong
Airflow, Talend, or Informatica. Knowledge of data modeling, data architecture, and database design principles team environment. Key Responsibilities Data Architecture and Modeling: Design and develop data architectures organization's data needs. Design and optimize data models to ensure efficient datastorage, retrieval, and
role will involve developing and maintaining data models that cater to the organization's business intelligence knowledge and experience in SQL Familiarity with data modeling and ETL processes Experience with BI technologies
REQUIREMENTS: - SAP BW4/HANA Data Modelling skills is essential - SAP BW 7.5 Data Modelling and BEX skills are
structures and develops long term sustainable data models. Collaborate with business stakeholders to understand design effective BI solutions. Design and develop data models to support reporting and analytics. Create and and maintain logical and physical data models for BI applications. Develop Extract, Transform, Load (ETL) confidentiality. Document BI solutions, including data models, ETL processes, and report specifications. Create in handling heterogeneous data sources. Experience with Warehouse modeling, analytics and ETL (Extract