- Control expenditure and identify process improvements to contain costs.
- BUILD WORKING RELATIONSHIPS ACROSS TEAMS AND FUNCTIONAL LINES TO ENHANCE WORK DELIVERY, COLLABORATION AND INNOVATION.
- Conduct research on emerging technologies and recommend cost-effective solutions.
- Collaborate with end users, clients, or senior management to understand business requirements for complex development or enhancements.
- Assist with gap analysis and business cases including cost and effort analysis.
- Profile, document, and validate client data, and execute remediation actions as agreed with clients.
- Implement automated deployments and task scheduling using required system components.
- Build unit and systems tests to ensure successful delivery of components into production.
- Manage user acceptance testing (UAT) and associated signoff through change control.
- Acquire and collect data via ETL processes from source systems into the Reservoir and Enterprise Data warehouse, adhering to data platform standards.
- Integrate data from multiple sources through the enterprise data platform architecture to meet business objectives.
- Develop and maintain physical data marts and databases.
- Automate tasks related to data pipelines for operational analytics deployment.
- Prepare and provision data for advanced analytical modelling by data scientists.
- Perform data quality assessments and introduce monitors and alerts to ensure data quality throughout managed systems.
- Create change scripts and set up scripts for production implementation.
- Participate in architecture forums as required.
- Utilize various data platform components and tools for enhanced service delivery.
- Create technical architecture requirements, design, development, testing, and deployment plans.
- Present technology solutions to senior leadership and influence architectures for IT data analytics platform transformation.
- Learn from Subject Matter Experts on technical environments or tools for own area of expertise.
- Provide analytic infrastructure or big data technologies support to Data operations and Analytic teams.
- Grow online technical knowledge platforms, identify best practices, and develop guidelines for tool usage.
- Assist and work on projects to roll out and support team members.
- Participate in planned activities for personal development.
- Develop, encourage, and nurture collaborative relationships across areas of specialisation.
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Data Engineer - Randburg - Rmbwestport

4 days ago

Description
Job Summary
The ideal candidate will have a sound understanding of business unit requirements and collaborate with stakeholders to ensure effective data movement, collection, integration, storage, and provisioning to meet business objectives.
Key Responsibilities
Additional Requirements
All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities.
Candidates can disclose their disability information on a voluntary basis, and the Bank will keep this information confidential unless required by law to disclose it to other parties.
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