Description:
Our Client a Global Tech firm is seeking a Cloud Data Engineer to join their team in Randburg on a contract basis.They offer stability, growth, attractive rates and a great working engineering.Note this position is required to work fully onsite.The Data Engineer is responsible for the transformation of data into a structured format that can be easily analysed in a query or report. The role is responsible for developing structured data sets that can be reused or compliment other data sets and reports. The individual analyses the data sources and data structure and will design and develop data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. The Cloud Data Engineer, AWS Data Pipeline, AWS Storage Gateway and Digital Assets will work on the Amazon Web Services (AWS) infrastructure team. The engineer's primary focus is to provide data services that enhance our clients' businesses. You'll be a key member of the data pipeline team helping us deliver these solutions quickly and efficiently while ensuring they're reliable and scalable.Key Roles and Responsibilities:Create data models in a structured data format to enable analysis thereofDesign and develop scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources, Participate in the transformation of object and data models into appropriate database schemas within design constraints. Interpret installation standards to meet project needs and produce database components as requiredCreate test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformationsDevelops and maintains mission-critical information extraction, analysis, and management systemsProvides direct and responsive support for urgent analytic needsTranslates loosely defined requirements into solutions.Uses open source technologies and tools to accomplish specific use cases encountered within the projectUses coding languages or scripting methodologies to solve a problem with a custom workflowPerforms incremental testing actions on code, processes, and deployments to identify ways to streamline execution and minimize errors encountered Knowledge, Skills and Attributes:Seasoned in the definition and management of scoping requirements, definition and prioritisation activitiesGood understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data modelsSpecialist either in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTPGood understanding of data architecture landscape between physical and logical data modelsAnalytical mind and business acumenProblem-solving aptitude Academic Qualifications and Certifications:Bachelor's degree with 3 years related professional ex
22 Apr 2024;
from:
gumtree.co.za