JHB000383-BM-1 Our client requires the services of a Data Streaming Platform with Bachelor's Degree in Information
the SAP, Java, Azure and Cloud landscape seeks a Data Streaming Platform Engineer. Running business critical
SAP, JAVA, Azure, Cloud is looking for an Azure Data Engineer . The unique positioning gives a deep insight maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared need-to-know basis Experience using programming skills in data related programming languages and frameworks, such Kusto Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure Databricks Profound technical understanding for Data Engineering and Data Warehouse Design Familiar with modern
of B degree ( Maths,Statistics, Computer Science, Data Science)
JAVA, Azure, Cloud is looking for an Azure Data Engineer. The unique positioning gives maintaining Big Data Pipelines using Data Platforms
Responsibilities: Analysing requirements Developing and capture test cases Executing the test cases Tracking and
invoices KEY RESULT AREAS Receiving, Barcoding and Capturing of Assets to Asset Register and Distribution to
invoices KEY RESULT AREAS Receiving, Barcoding and Capturing of Assets to Asset Register and Distribution to
months fixed term contract and contribute to their data-driven approach to financial management and decision-making of financial data. The ideal candidate will possess a strong background in finance, data analysis, and Qlik. Collaborate with finance teams to understand data needs and provide actionable insights to support decision-making. Design and implement data models, ETL processes, and data warehouses to facilitate comprehensive regular data validation and quality checks to ensure the accuracy and integrity of financial data. Provide
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related