Data Engineer The data engineer 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 assistance from a Business Analyst and Data Architect/Modeller.
Key Responsibilities:
Prepares transforms models data and resolves conflicting sources of data and anomalies
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 machinereadable 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. Cooperate 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 plus
Extensive experience of designing developing and testing ETL processes
Experience of batch and realtime processing
Experience in extracting value and features from large scale data and toolsets
Modern code development practices
Extensive experience working with SAP ERP and BW/4HANA (Frontend and Backend)
Experience of relational and NoSQL data modelling approaches
Experience of at least one packaged ETL tool
Technical expertise with data models data mining and segmentation techniques
Extensive handson experience with BW Data modelling and SQL database design
Data engineering certification (e.g. MS Azure Data Engineer or SAP Data Architects) is a plus
Working proficiency in English and any other European languages are a plus
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