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Data Engineer Johannesburg
E-merge It Recruitment
Johannesburg
800000 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
share this job on whatsappSenior Data Analyst Johannesburg
E-merge It RecruitmentJohannesburg
900000 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
Assistant Manager Morningside, Sandton, Johannesburg
Clientèle Life Assurance Company LimitedSouth Africa
and process optimization; Develop and maintain data models, ensuring data accuracy, consistency, and integrity;
Senior Business Intelligence Architect Johannesburg North
Network ItNorth Johannesburg
Factory, SQL Data Warehouse (a plus). Predictive data modelling (a plus). Responsibilities: Research and analyze
Bi Analyst Johannesburg North
Network ItNorth Johannesburg
and strong knowledge of logical and physical data modeling concepts Responsibilities: Business analysis
Node Js Developer Cape Town: Northern Suburbs
Communicate ItSouth Africa
Familiarity with databases (SQL and NoSQL) and data modeling Knowledge of RESTful APIs and web services Excellent
Sql Database Administrator Kzn - North Coast
RecruitechSouth Africa
so that it can be translated into a specific data model Further refining the physical design to meet
Senior Retail Product Manager Cape Town
Rainmaker Acquisiton CcCape Town Region
Ahead” view to PMO Needs to review LLDs and Data Models from a functional point of view and provide feedback
Crm Developer Sandton
ZhrsSandton
Microsoft Dynamics). Strong understanding of CRM data models, workflows, security models, and APIs. Experience
Senior Data Scientist Kzn - North Coast
RecruitechSouth Africa
the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine learning create data pipelines to prepare and clean data for modelling Work with data engineering teams to ensure ensure data availability and quality Model Evaluation and Deployment: Evaluate model performance and fine-tune visualization Expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving
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