PE010814-LM-1 The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the company's Data Architecture Roadmap, to advance technical thought leadership for the purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation. Job
findings provided to client • Data of findings analysed and interpreted • Data presented to client Special requirements • Feedback on findings provided to client • Data of findings analysed and interpreted • Possible pre-migration sheet (custom) • Project pre-migration data capturing • Project Migration audit (following day according Checklist delivery • Project Post-Migration data capturing and reporting • Client & co-ordinating overview report • Monthly network health report for the data centre • Daily change meeting (8AM) – updates on
previous IT Service Desk experience Excellent data capture and typing skills Must be able to use all Microsoft Line Support Engineer is responsible for the capturing of customer requests from varied inbound sources for effective, detailed and accurate request capturing Accountable to confirm customers' information
currently looking for a Data and BI Analyst to be based in Midrand. he Data and BI Analyst will be assisting with all analytics, reporting and data needs. Will investigate large data related postpaid invoicing, collections validating data to enable quantitative analysis for statistical and modelling team. Explore data to understand build data models, dashboards, and reports using business intelligence tools to visualise data and provide experience in data analytics or business information. Teleco related experience would be beneficial. Data analysis
Performance Areas: Data and Flow Management: Monitor and manage system backups and Evolution data synchronization and constant data flow (Regional and Local) with minimal system "Down days" and clean data maintenance backup procedures for data integrity and conduct successful recoveries. Respond to data loss incidents, implement administration qualification essential (e.g., SQL Server). Data analysis experience. Proven experience as an IT
with relevant regulations and policies related to data privacy, security, and access Managing relationships processes, as well as backing up and archiving data. Developing data retrieval and recovery procedures. See Description
environment, including resolution of Heat problems, data backup and restore, and the production of Heat performance Ensures data integrity across multiple modules and ensures consistent data structure, data recovery recovery, maintenance, data integrity, and space requirements for physical database are met through implementation catalogue. Foundation Data. Business Time Segments. Configure Assignments. Data Management tool. Organizational Incident Management: Full Application Administration. Data Management. Incident Templates. Notifications and
Create RESTful APIs Create data clients to consume RESTful APIs Integrate data storage solutions, including of Spring Boot Ability to script and manipulate data in JavaScript/Typescript (knowledge of a server-side
APIs
network performance using monitoring and graphical data. Experience of diagnosing network and service issues Required Competencies Able to collate and interpret data from various sources. Ability to assess faults, analytical skills and able to collate and interpret data from various sources.