and two days working from home as a DATABASE ADMINISTRATOR II. Job Purpose To ensure the installation; installation; design; configuration; upgrade; administration; monitoring and maintenance of databases and associated reliability; efficiency and security of enterprises data. Job Responsibilities · Build and maintain stakeholder database activity and ensure efficient access to data. · Resolve work obstacles by providing input in Participate in setting standards for database administration. · Comply with policies, standards and procedures
installation; design; configuration; upgrade; administration; monitoring and maintenance of databases and reliability; efficiency and security of enterprises data. Job Responsibilities Build and maintain stakeholder database activity and ensure efficient access to data. Resolve work obstacles by providing input in a Participate in setting standards for database administration. Comply with policies, standards and procedures the achievement of team goals. Ensure knowledge management, continuity and team success through constructive
you a dynamic and seasoned project manager with a passion for data-driven initiatives? Do you thrive in cutting-edge projects and help us shape the future of data services. Our client in the Financial Services sector sector is currently looking for a Senior Data Services Project Manager for a 12-month renewable contract role role. Key Responsibilities: Lead Complex Programs: Manage large-scale, enterprise-level projects from inception within budget. Drive Data-Related Initiatives: Spearhead projects involving data integration, transformation
entertainment industry is seeking a Data Engineer. In this role, you will manage projects by documenting installations into potential technology innovations, delivering a data architecture that supports future business growth including customers, staff, and gambling boards. As a Data Engineer, this role will allow you to work on large-scale of experience as a Data Engineer. Minimum of 3 years of experience building data pipelines including SSIS, data migration, and integration. Knowledge of building data dictionaries and dimensional data models
/>
Data Quality Management:
Develop and implement a data quality framework
completeness, and consistency of data within Global Markets.
Establish data quality standards, metrics
improve data quality.
Provide guidance and support to data owners and stakeholders on data quality
quality management best practices and tools specific to Global Markets.
Data Governance:
Implement data governance frameworks, including data attestation and data lineage, to ensure
based in Sandton are looking for a Project Management Administrator to join their team. The role will include include typical project administrative tasks as associated with implementing full lifecycle ERP implementations will include responsibilities such as: Project administration, reconciliation and reporting on KPI's, Communicating Communicating with the team and external stakeholders, Managing schedules, Maintain and administer project documentation
tasks Quality control SALARY: R7500 The post Administrator appeared first on freerecruit.co.za .
entertainment industry is seeking a Data Engineer. In this role, you will manage projects by documenting installations into potential technology innovations, delivering a data architecture that supports future business growth including customers, staff, and gambling boards. As a Data Engineer, this role will allow you to work on large-scale of experience as a Data Engineer. Minimum of 3 years of experience building data pipelines including SSIS, data migration, and integration. Knowledge of building data dictionaries and dimensional data models
Our Client a Global Tech firm is seeking a Senior Data Engineers to join their team in Randburgon a contract be fully vaccinated. The Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between the source system (golden/trusted) and the target database database (LOB), hence providing good quality data by applying the necessary framework/s and governance to whoever solution. Analyse, interpret and display data sets to ensure data-driven solutions that address challenges