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Key ResponsibilitiesData Engineering & Architecture- Design, build, and maintain robust data pipelines that ingest, transform, and store structured and unstructured data from multiple sources.- Design and implement scalable data platform architectures to support evolving business needs- Manage and optimise database infrastructure for scalability, focusing on query optimization, indexing strategies, high availability, and cost effectiveness.Data Analysis & Insights- Develop and maintain a deep technical mastery of the end-to-end data ecosystem- Deep-dive into raw datasets where required to ensure that data outputs are logically sound, rigorously tested, and provide an accurate reflection of business reality.- Translate complex data from multiple sources into meaningful insights that support business decision-making across all functions (sales, operations, credit, Finance, Legal).-Perform high level data analysis to identify trends, risks, and opportunities within lending and financial datasets.Data Processing and Governance- Implement data quality checks, monitoring, and performance tracking to ensure the accuracy, completeness, and reliability of datasets.- Maintain data catalogs and lineage documentation to ensure data is discoverable, governed, and compliant with privacy and compliance regulations.- Implement and maintain data security best practices and access controls.Reporting & Dashboards- Develop and maintain automated SQL-based cloud reporting solutions.- Build intuitive, insightful BI dashboards for internal stakeholders and clients.- Ensure reporting is accurate, timely, and aligned to business KPIs.AI Enablement- Support and contribute to AI-driven initiatives, including automation and intelligentdecision support.- Collaborate with stakeholders to identify opportunities where AI can enhanceoperational efficiency or customer needs.User Experience- Support the development of front-end data interfaces that improve usability and value for internal users and customers.- Ensure outputs are accessible, visually clear, and user-centric.Collaboration & Continuous Improvement- Work closely with business, IT, credit, and product teams to gather requirements, validate solutions, and troubleshoot.- Take a solution-driven, pragmatic, and collaborative approach to problem solving.- Stay current with emerging data, analytics, and AI technologies and frameworks, and apply learnings practically.Minimum Requirements- Degree in Information Systems, Computer Science, Engineering, Data Science, or a related field.- Minimum 4 years experience in building end-to-end data solutions.- Proven experience within the financia https://www.executiveplacements.com/Jobs/D/Data-Scientist-1261143-Job-Search-02-10-2026-00-00-00-AM.asp?sid=gumtree

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"uber driving jobs" in Gauteng

uber driving jobs in Gauteng (131 results)

Results for uber driving jobs in "uber driving jobs" in Gauteng in Gauteng