experience in a Financial Services Industry will be a plus.
- 8 12 years experience in a Developer role
repositories.
- Experience in Delphi a huge plus point
Experienced with Assembla and Github a plus Familiarity with Azure DevOps a plus Familiarity with further processes growth of a globally used platform Knowledge of AWS a plus Reference Number for this position is GZ59105 which
Certificate or can develop machine learning (ML) models and automate ML pipelines. Minimum Experience : client engagements but may include: • Creating data models that can be used to extract information from various and have a strong understanding of ETL and data modelling. • Ability to ingest data into AWS S3, perform Cloud Platform. • A strong understanding of data modelling, data structures, databases, and ETL processes ideas. • Experience in the financial industry is a plus. • An AWS Certified Machine Learning – Specialty
HTML4 and HTML5) JavaScript Ajax Exposure to Client-size MVC Frameworks (Knockout, Backbone, Ember and Angular (ISP) 087 378 8857 R 900000 - R 1020000 - Annually plus Annual Performance Bonus And Provident Fund
and HTML5 ) JavaScript: Ajax Exposure to Client-size MVC Frameworks (knockout, backbone, ember but Angular ruitment.co.za R 1020000 - R 1140000 - Annually plus Annualy Bonus
with customers on product performance inclusive of sizing, tuning and configuration, and recommend solution cloud-based architecture and software deployment is a plus.
financial models.
SAC.
Data Modelling and data engineering skills.
SAP BW 7.5 Data Modelling and BEX skills
SAP BW4/HANA Data Modelling skills
SAP BW4/HANA Query Modelling skills
Any additional
responsibilities assigned in the Agile Working Model (AWM) Charter
ADVANTAGEOUS SKILLS
creating data flow diagrams (DFDs), defining data models, ensuring data lineage, and implementing data governance development with a focus on data lineage, data modeling, and data flow design. Proven experience with in creating data flow diagrams (DFDs) and data models.
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