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    • Data Engineer - Sandton - HR Genie

    HR Genie
    HR Genie Sandton

    1 month ago

    HR Genie background
    Description

    We are committed to excellence and are looking for a skilled Data Engineer. If you have passion for leveraging cutting-edge technologies to solve complex problems, we want you.

    The ideal candidate will have 3-5 years of experience designing Business Intelligence solutions using the Microsoft stack, preferably in Investment banking or financial services.

    Responsibilities include:

    • Designing and building end-to-end BI solutions that extract data from multiple systems, transform and load into multiple reporting data warehouses.
    • Working with end-users and analysts on requirements and translating them into technical specifications, providing estimates to management.
    • Supporting existing BI Platform, reverse engineering and improving processes.
    • FOLLOWING and contributing to departmental development process in terms of standards, methodologies, testing, version control and documentation, drive and implement industry best practices, evaluate and introduce new tools, design and improve existing ETL framework, data validation framework.
    • Assisting in the migration to an off-premises Cloud Solution (Specifically Microsoft Azure).

    Requirements:

    • 3-5 years of Data Engineering experience
    • Excellent data analysis and exploration using T-SQL, and strong SQL programming (stored procedures, functions)
    • Extensive experience of using SSIS, script tasks, custom plugins
    • Experience of building solutions with SSAS, advanced knowledge of SSAS, MDX, performance tuning, best practices, 2008 onwards
    • Knowledge and experience of data warehouse modeling methodologies
    • Microsoft SQL Server 2005/2008/2008R2/2012/2014/2019, performance tuning, backup and recovery, data encryption, capacity planning, understanding of database engine internals and all database objects
    • Experience of loading data from different sources xml, csv, excel, web services, different databases, MQ messages etc.
    • Significant experience designing solutions following Kimball methodology and good knowledge of data modeling concepts
    • Post release support of deployed BI solutions
    • Experience of building reports using SSRS, PowerBI, PowerPivot, integration with SharePoint, building corporate reporting portals, KPIs, dashboards, self-service BI

    Azure Cloud Data Engineer Competencies:

    • Experience in Azure, in particular Data Factory, Synapse, and Databricks
    • Experience in using source control, specifically GIT and deployment pipelines
    • Deliver to all stages of the data engineering process
    • Data ingestion, transformation, data modeling and data warehousing, and building self-service data products
    • Good understanding of Data Lakes, in particular Azure Data Lake Gen2
    • Experience in building robust and performant ETL processes
    • Building and maintain Analysis Services databases and cubes (both multidimensional and tabular)
    • Knowledge of financial markets and industry financial reporting standard
    • Azure Certification will be beneficial
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Data engineer