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lender by assets, they are looking for a Data Engineer to execute data engineering duties according to the complete data architecture across several application platform Analyse data elements and systems, data flow transformation and loading of data Build, create, manage, and optimise data pipelines, move data pipelines into production enable data consumers to utilise data for reporting purposes Create data tooling, enabling data consumers consumers in building and optimising data consumption, taking integration and usage patterns into account
searching for a technical specialist. The purpose of the Data Specialist is to use their database, software engineering the necessary data is properly stored on the cloud platform and is available to the data scientists. Experience modelling of data Systems engineering and implementations experience Experience on the data services on Plan Design Data modelling using: Table structures Store Procedures SSIS Packages SQL Cloud Data Services: Implementing data pipelines using cloud infrastructure and services No-SQL experience on the cloud Data engineering
(Statistics, Actuarial or clinical)
Role : AWS Data Engineer Location : Johannesburg [ 3 Days in a week from office] Duration : 12 Months are seeking a highly motivated and experienced AWS Data Engineer to join our Global Markets division. In quantitative analysts, and data scientists to design, develop, and maintain data infrastructure and pipelines background in C# or Python programming and building data pipelines on AWS, especially with AWS Glue Jobs contributing to the design and implementation of data pipelines to support global markets business. It
and development of data science and machine learning models; develop cutting-edge data science and machine business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced work closely with cross-functional teams to apply data science and machine learning models to business non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of
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scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
Are you passionate about leveraging data to drive business insights? Do you thrive in a dynamic environment at one of South Africa's leading banks as a Data Warehouse Developer.
Key Responsi Responsibilities: