experience Microsoft BI Stacks environment, MS SQL Server, T-SQL, SSRS, SSIS and report development experience
Communication Foundation (WCF)
- Microsoft SQL Server
- Windows Services
Tooling:
SQL Server and C#.
the online space – Informix SQL, Postman, SoapUI, Elasticsearch, Oracle SQL Identify enhancement opportunities would advantageous Good understanding of Oracle SQL Basic understanding of http response codes (eg. 404 Sentry, Adobe Analytics, Zipkin, Remedy, JIRA, Oracle SQL Developer, and Confluence will be beneficial
(ETL) data from various data sources, including SQL Server, Excel, Azure, and other databases. Utilize including Power Query and DAX. Experience with SQL and database management systems. Technical Skills: and DAX for data transformation and calculations. SQL for querying and managing databases. Familiarity Experience with Azure Data Services, such as Azure SQL Database, Azure Data Factory, or Azure Synapse Analytics Flow, Office 365, Dynamics, CDS, Azure Data Lake, SQL, DAX
exposure to T-SQL/PLSQL Good exposure to SSRS and Power BI reporting tools . Strong SQL query writing ability (across database environments e.g., Oracle, SQL Server etc) Strong report writing skills, preferably
in IT, Math, or related field, with expertise in SQL, Power BI, and Qlik. Apply now Qualifications: Honours Managerial experience in leading BI teams Proficiency in SQL, Power BI, and Qlik Strong analytical and problem-solving support decision-making Create and manage backend SQL databases Develop and maintain frontend visualizations
in IT, Math, or related field, with expertise in SQL, Power BI, and Qlik. Apply now Qualifications: Honours Managerial experience in leading BI teams Proficiency in SQL, Power BI, and Qlik Strong analytical and problem-solving support decision-making Create and manage backend SQL databases Develop and maintain frontend visualizations
strategies. The ideal candidate will have experience with SQL, Microsoft Fabric, and Salesforce, and a willingness develop, and maintain robust data pipelines using SQL and Microsoft Fabric
Experience with Oracle Data Warehouse, including SQL and PL/SQL.
• Familiarity with ETL tools, particularly
/>• Knowledge of Azure Data Services (e.g., Azure SQL Database, Azure Data Factory).
• Experience
languages and frameworks, such as Python, Spark, SQL, Kusto
The