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Data Engineer

8,000 SGDSingapore, SGScore 65/1001d ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
Microsoft AzureComputer EngineeringPython ScriptingCollaborativeCritical ThinkingData Warehouse SystemsAzure Data FactoryBig Data AnalyticsComputer ScienceData LakeDatabase ModellingArticulate Presenter
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Description
Job Description: Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Microsoft Fabric or Azure Data Factory (ADF) and/or IDMC ( Informatica Cloud ) Strong working experience in Azure Data services, preferably Microsoft Fabric. Strong scripting knowledge on python / pyspark Strong data modelling and database design working experience for transactional and analytical systems. Strong database working experience, including querying and tuning large, complex data sets and performance analysis Working experience in master data management, preferably in customer domains. Working experience in big data and DataSecOps is an added advantage. Requirements Degree in Computer Science, Engineering and/or Master in Data Engineering /Mathematics, Computational Finance 3 to 5 years of relevant functional/technical experience. Working experience in client support and implementation of data engineering solutions An action-oriented personality Keen client orientation Systematic problem solver with critical thinking abilities Strong presenter and effective communicator Collaborative team
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