Data Engineer

SUMMARY:
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POSITION INFO:
The data enineer is ultimately accountable for preparing and manipulating data for further analysis, including ETL and will support testing across the development lifecycle. The Data Engineer is responsible for extracting and transforming data from source systems, understanding how to integrate or join different sources to create a dataset that can be used for reporting, analysis, and analytics. overall the Data Engineer will strive for efficiency by aligning data systems with business goals. Role will also be involved in testing activities with the assitance from a Business Analyst and Data Architect \/ Modeller. Key Responsibilities: Prepares, transforms, models data and resolves conflicting sources of data and anormalies Supports the delivery of BI and analytical products to business users via participating in Agile development pod activities including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information from different sources to create consistent and machine-readable formats Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling Responsible for technical testing services across the entire delivery lifecycle including: system integration testing, performance engineering and unit testing. Coorperate with the business Analyst, data architect and data visualisation developer throughout these testing activities Work with the Group IT team to adhere to architecture guidelines and provide valuable input to develop them. Requirements: Bachelor''s degree in computer science, IT or similar field. A Master''s is a HUGE Plus! Extensive experience of designing, developing and testing ETL processes Experience of batch and real-time processing Experience in extracting value and features from large scale data and toolsets Modern code development practices Extensive experience working with SAP ERP and VW\/4HANA (frontend and backend) Experience of relational and NoSQL modelling approaches Experience of at least on packaged ETIL Tool Technical expertise with data models, data-mining, and segmentation techniques Extensive hands-on experience with BW Data Modelling and SQL database design. Data engineering certification (e.g. MS Azure Data Enineer or SAP Data Architects) is a plus Working proficiency in English and any other European languages are a plus PLEASE NOTE: Position is based in Cape Town - must be willing to relocate SA Citizen Matric Plus degree No Criminal record Clear ITC

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