EDUCATIONAL REQUIREMENTS: Grade 12 A; N - MCP or MCSE or IT Diploma EXPERIENCE AND SKILLS REQUIRED: 5
System Engineer - Elastic Clusters and Cloud Environments Location: Sandton, South Africa Are you a highly role in managing Elastic clusters and optimizing cloud-based search solutions. This position offers a dynamic teams to enhance system capabilities. Cloud Integration: Work with cloud environments (MS Azure, AWS) to optimize Elasticsearch and/or Kafka products. Familiarity with cloud platforms (MS Azure, AWS). Strong understanding Hands-on experience with JIRA and Confluence. Elastic Cloud experience is highly desirable. Excellent analytical
Elasticsearch and/or Kafka products. Work with cloud environments, specifically Microsoft Azure and Amazon and documentation. Leverage Elastic Cloud experience to optimize cloud-based search solutions. Qualifications Elasticsearch and/or Kafka products. Familiarity with cloud platforms, particularly MS Azure and AWS. Experience Hands-on experience with JIRA and Confluence. Elastic Cloud experience is highly desirable. Strong analytical
Description Senior Manager Cloud Storage and Back up Role Requirements Financial and / or Insurance Background to this Position 10 Technologies Microsoft Azure Cloud (Block Storage, Elastic San and Blob Storage) Amazon
looking to build a career in the corporate finance/private equity space. The role is earmarked for succession Internship, either with a Corporate Advisory or Private Equity Firm, or a Banking Institution, or an Audit with a keen interest in the Corporate Finance/ Private Equity/Investment industry, who is looking to build
looking to build a career in the corporate finance/private equity space. The role is earmarked for succession Internship, either with a Corporate Advisory or Private Equity Firm, or a Banking Institution, or an Audit with a keen interest in the Corporate Finance/ Private Equity/Investment industry, who is looking to build
etc), Data Lakes Storage (Azure Data Lake Gen 2), Cloud-based solutions (SAS , Azure Databricks, Azure Data Platforms (SAS, Ab Initio, Denodo, Netezza, Azure Cloud). Ensure data security and privacy in collaboration Streaming) utilising both On Premise tool sets and Cloud Data Engineering tool sets.
etc), Data Lakes Storage (Azure Data Lake Gen 2), Cloud-based solutions (SAS , Azure Databricks, Azure Data Platforms (SAS, Ab Initio, Denodo, Netezza, Azure Cloud). Ensure data security and privacy in collaboration Streaming) utilising both On Premise tool sets and Cloud Data Engineering tool sets. efficiently extract utilization of data integration tools ( Ab Initio) and Cloud data integration tools (Azure Data Factory and Azure Study: BCom, BSc, BEng Preferred Certifications Cloud (Azure, AWS), DEVOPS or Data engineering certification
reliability.
them into scalable data architectures. Leverage cloud platforms, particularly AWS, to deploy and manage tuning, and administration. Hands-on experience with cloud platforms for data solutions, with a preference