solutions to cloud platforms, particularly Azure, and leverage Azure Data Factory when applicable Understand essential. Software : SQL SSIS Jira Confluence Azure Azure Data Factory Synapse DevOps
Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse. 3. Data Visualization: analysis and streamline workflows. 9. Microsoft Azure 10. Data factories 11. MS Fabric The post Data Consultant
Hosting:
- Azure Cloud
- Azure Web Applications
- Azure Functions
- Azure Service Bus
Advantageous
ZAR0
Qualifications:Degree in Computer Science, Azure AWS K8s Docker certifications
Skills:Exp with cloud-based data platforms (AWS, GCP, Azure). Data architecture, governance, quality, security
Power BI Qlikview Agile methodology Azure BI deployments within Azure KPA's : Develop SQL Scripts Develop
(DB2, MS SQL and Netezza) and Oracle Exposure to Azure Cloud An agile working approach is essential. Should Data Engineer, DB2, MSSQL, Netezza, Oracle, UNIX, Azure Cloud
certifications such as ITIL, PMP, Security, and AWS/Azure/VMware, are highly valued. Minimum Requirements: CAPM/PMP, Security/CISSP, Fortinet, Microsoft, AWS/Azure/VMware certifications, etc., are a plus. Duties
SQL and Netezza) and Oracle