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    Senior Data Engineer - Johannesburg, South Africa - Boardroom Appointments

    Boardroom Appointments
    Boardroom Appointments Johannesburg, South Africa

    1 week ago

    Boardroom Appointments background
    Full time
    Description

    Contract position

    Minimum Requirements:

    • A bachelors degree in computer science, Information Technology, or Equivalent Qualification.
    • 5 years of Data Engineering experience.
    • Data warehousing concepts is advantageous.
    • Ab Initio development experience (on-prem and cloud) is essential.
    • Exposure to UNIX and SQL (DB2, MS SQL and Netezza) and Oracle
    • Exposure to Azure Cloud
    • An agile working approach is essential.
    • Should be a self-starter who can work under minimal supervision.
    • Able to work independently.

    Responsibilities:

    • Interpret requirements provided by the business and develop accurate and sustainable solutions from the planning stage through to the productionised solution.
    • Analyse, interpret and display data sets to ensure data-driven solutions that address challenges and business needs within Organisations.
    • Ensure solutions adhere to standards and best practices and participate in solution reviews to ensure all solutions fit within standards.
    • Operate within project environments and participate in CII continuous improvement efforts.
    • Design and develop data models, ETL processes, and pipelines to support data ingestion, transformation, and analysis.
    • Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision-making.
    • Develop and maintain dashboards, reports, and visualizations that provide insights into key business metrics and trends.
    • Design and implement data quality and data validation processes to ensure the accuracy and consistency of data.
    • Develop and maintain documentation for data models, data lineage, and data flow.
    • Design and develop data models, ETL processes, and pipelines to support data ingestion, transformation, and analysis.
    • Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision-making.
    • Develop and maintain dashboards, reports, and visualizations that provide insights into key business metrics and trends.
    • Design and implement data quality and data validation processes to ensure the accuracy and consistency of data.
    • Develop and maintain documentation for data models, data lineage, and data flow.
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