Data Engineer - Moyo Talent Solutions , Cape Town
confidencial
Western Cape, Sudáfrica
3d ago
source : jobomas

Our client is software widely used by Asset Management companies in South Africa and more recently in the UK, in line with the company-

s international expansion strategy. The area where our client is mostly used is within the research and investment process.

Our client has a young and dynamic team of skilled Data Engineers who assist clients from both a support and project perspective.

In both cases it involves interacting with the software fundamentally a toolkit which allows them to build customised solutions and models for clients based on their specific and unique data requirements.

This is an exciting opportunity for a highly analytical person with a knack for data analysis. Involving manipulation, modelling and being responsible for the understanding of inter-

dependencies between various data sources and business processes involving data flow. The Data Engineer will also be involved in designing and building data management solutions.

There will also be elements of integrating with data science tools allowing business users to visualise their data. The configuration and implementation at various clients Understand the business requirements of the company-

s clients, the focus being the research and investment process of these Asset Managers Construct end to end data service solutions Liaise and Interface with clients in a support role, providing 2nd Tier support and enhancement services Understand and manage the client-

s data requirements, the data being specific to the financial markets Contribute towards a team that develops, constructs, tests and maintains architectures such as data bases and large-

scale processing systems Ensure data architecture will support the requirements of the client-s business Employ a variety of languages and tools e.

g. scripting languages to marry systems together Recommend ways to improve data reliability, efficiency and quality Employ sophisticated analytics and statistical methods to prepare data for use in prescriptive modelling Automate work by using process flow tools Provide feedback to the Development team regarding new functionality and issue logging Creation of user interfaces allowing users to upload their own data

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