Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge
returns. Compile Bank file ensure changes in banking details are correctly captured Upload Bank file and 3rd 3rd Party Payments to banking platform Proactively investigate issues and/or errors that have been made implementation of new payrolls Verify Payroll data, ensure system data is up to date Ensure all payrolls blueprints
returns. Compile Bank file ensure changes in banking details are correctly captured Upload Bank file and 3rd 3rd Party Payments to banking platform Proactively investigate issues and/or errors that have been made implementation of new payrolls Verify Payroll data, ensure system data is up to date Ensure all payrolls blueprints
services at people who do not have easy access to bank accounts, and we allow them the convenience of being resources, including infrastructure, applications, and data. An enterprise architecture (EA) is a conceptual
responsible for the full accounting function from data input to management reporting. The ideal candidate Full accounting function, from data input to management reporting Data Analysis Support to Financial Manager
website team. Risk Management Act as the departmental data champion in line with the Enterprise Information Information Governance framework. Ensure that the data and information overseen by the team (which includes third distribution, thereby supporting the drive to treat data as a strategic asset. Identify weaknesses (in terms efficiency) in existing team processes, including data, operational and analytic processes. Implement mitigations from Marketing, ITD, Post Trade Services and Market Data to ensure that existing index solutions are appropriately
website team. Risk Management Act as the departmental data champion in line with the Enterprise Information Information Governance framework. Ensure that the data and information overseen by the team (which includes third distribution, thereby supporting the drive to treat data as a strategic asset. Identify weaknesses (in terms efficiency) in existing team processes, including data, operational and analytic processes. Implement mitigations from Marketing, ITD, Post Trade Services and Market Data to ensure that existing index solutions are appropriately
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