will be responsible for providing support for the systems, applications, and environments within the DataHub availability and disaster recovery requirements System infrastructure knowledge, understanding of Linux Linux (OEL), Windows, and Solaris preferable Networking concepts and design preferable Oracle Database and Infrastructure, Linux / Solaris / Windows Operating System Reference Number for this position is GZ56322 which
opportunities and implement strategies to increase system reliability and better performance. Improve collaborative opportunities to improve business processes, models and systems. Ensure alignment with emerging technologies, and DevOps Engineer, Site Reliability Engineer, System Administrator, or similar positions involving infrastructure
for driving, designing and building scalable ETL systems for a big data warehouse to implement robust and and experience of Retail SAP architecture Strong networks and knowledge of emerging trends across Data/Analytics
talented Business Systems Analyst to lead the way in shaping the future of our systems and databases. As As a Business Systems Analyst, you will be the driving force behind converting ideas into world-class Apply now Requirements: 7 to 10 years relevant systems analysis experience, as enumerated above 4 to 5 knowledge of Use Cases and UML Exposure to the system or applications being developed would be an added
processes, systems and policies and support implementation of new processes, policies and systems. Conduct adhering to the deadlines as per the Task Request System (TRS) Produce the technical specification document
application platforms Analyse data elements and systems Build required infrastructure for optimal extraction of integration patterns, styles, protocols and systems Liaise and collaborate with technology colleagues
logic links between data from various systems to facilitate cross system reporting. Automation of controls
identify areas for enhancement within the quality system and propose effective solutions. Conduct regular methodologies. Familiarity with version control systems such as Git. Basic knowledge of containerization
API's that can be integrated with legacy/other systems, and frontends that are expandable. Core understanding quality with Sonar Integration with 3rd party systems Performing production and integration deployments
application platform Analyse data elements and systems, data flow, dependencies, and relationships Build of integration patterns, styles, protocols and systems theory required Liaise and collaborate with technology