Data Engineer (Azure & Fabric) - Johannesburg – R550k to R850k per annum - E-Merge

    E-Merge
    E-Merge Johannesburg

    3 days ago

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    Description

    An IT solutions company dedicated to transforming data into actionable insights that drive business decisions seeks a talented Data Engineer to play a pivotal role in leveraging cutting-edge technologies to optimize our data processes.

    Key Responsibilities:

    • Data Analysis: Analyze and interpret complex datasets using statistical methods to uncover valuable insights and trends.
    • Data Mining: Utilize machine learning techniques to discover patterns in large datasets, enhancing our data-driven strategies.
    • Data Visualization: Create impactful visualizations and dashboards that effectively communicate data insights to stakeholders.
    • Data Cleaning: Ensure the accuracy and completeness of data by cleaning and preprocessing datasets.
    • Data Modelling: Build and test predictive models to forecast future trends and outcomes, supporting strategic decision-making.
    • Reporting: Develop comprehensive reports and presentations that summarize findings and actionable recommendations.
    • Collaboration: Work closely with data science team members and other departments to identify business problems and collaboratively develop innovative solutions.
    • Programming: Write scripts and code in SQL to automate data analysis processes and streamline workflows.

    Requirements:

    • National Diploma in Information Technology or Bachelor of Degree
    • Proven experience as a Data Engineer, with a focus on Azure and Fabric, minimum 3 years
    • Relevant certifications in Azure and data engineering
    • Strong proficiency in data analysis, data mining, and statistical methods
    • Experience with data visualization tools and techniques
    • Solid understanding of data cleaning and pre-processing methodologies
    • Familiarity with predictive modelling and forecasting techniques
    • Proficiency in SQL and experience with automating data workflows
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