Are you a skilled SQL Database Administrator looking for an exciting opportunity? We have a captivating performance, ensuring data security, and implementing best practices in Microsoft SQL Server environments alignment with organisational goals. 3. Documentation Management: Maintain comprehensive documentation of database Requirements: 1. Database Management: Oversee the management and administration of Microsoft SQL Server databases efficiency. 3. Data Security: Implement robust security measures to protect sensitive data, including access
skilled and experienced Database Administrator (DBA) to join our dynamic team. The ideal candidate will multi-client environment, with a strong focus on SQL Server databases. This individual will be responsible optimization, performance tuning, and implementing advanced SQL Server services and features. Additionally, experience
SQL Server Expertise: Extensive experience working with SQL Server databases databases, including in-depth knowledge of SQL Server 2016, 2019 + and proficiency in database design, optimization
(if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL (if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL (if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL (if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL
experience
knowledge of Integration and Reporting Services (if MS-SQL)
In depth understanding of relevant Database Database Technology architecture
Strong T-SQL or PL/SQL abilities
Problem Solver
Vendor Certification
(if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL (if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL (if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL (if MS-SQL) In depth understanding of relevant Database Technology architecture Strong T-SQL or PL/SQL
- SQL Server Consolidations, upgrades and new implementations - Automation of various DBA and Business optimisations - SQL Server Cluster Implementation and Administration - Database and Server security management - Database Alignment - Performance tuning and optimization: T-SQL, Indexing , Hardware , storage ad design - Database planning - Capacity planning and reporting - Change management & database change request implementation planning and implementation - SQL server security and general administration - SQL Reporting Services administration
Procurement Data Analyst (SQL,Pragma, Qlisense, Netstock), Boksburg, Rneg Ben BSC Degree in Data Analytics or equivalent. More than 5 years' experience in a data analytics or industrial engineering function. Netstock analyse, interpret and present data. High level of understanding of how data is captured, stored, and accessed introduction to databases and SQL. Interpretation of outcomes . Ability to apply data analysis t business needs operations . Data presentation and visualisation . Duties: Accountable for procurement spend data analysis
improvement. What you will be doing: Spearhead the management of Linux and Unix systems to ensure top-notch optimal performance. Take the lead in setting up and managing Red Hat and Alma Linux servers, ensuring seamless Empower users with secure access through meticulous management of user permissions and regular security audits configuring and managing Apache web server and Tomcat with finesse. Ensure robust data management with proficient user authentication processes through effective management of protocols, ensuring smooth user experiences
access and security; Monitoring performance and managing parameters to provide fast responses to front-end database Considering both back-end organisation of data and front-end accessibility for end-users Refining design so that it can be translated into a specific data model Further refining the physical design to meet documentation, including data standards, procedures and definitions for the data dictionary (metadata) Controlling access permissions and privileges Developing, managing and testing back-up and recovery plans Ensuring