Data Engineer - Gauteng - Discovery Limited

    Discovery Limited
    Discovery Limited Gauteng

    1 week ago

    Default job background
    Accounting / Finance
    Description

    About Us

    At Discovery Corporate and Employee Benefits, we strive to make a positive impact on people's lives by providing innovative employee benefits solutions. Our core purpose is to enhance and protect the lives of our clients, while promoting healthy and wealthy workforces.

    Our Mission

    We aim to be the leading provider of employee benefits solutions in the market, shaping behavior and creating healthier and wealthier workforces. Our team of experts collaborates with clients to design and deliver tailored solutions that meet their unique needs.

    The Role

    We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for building a sustainable framework to collect, process, and provide high-quality health care data. This will enable us to achieve our core purpose and drive business growth.

    Key Responsibilities

    • Develop and implement a reusable architecture of data pipelines to make data available for various purposes, including Machine Learning, Analytics, and Reporting.
    • Work collaboratively with system architects, data scientists, and business stakeholders to define data sources and build a custom data framework.
    • Design and implement data solutions that leverage controls to ensure privacy, security, compliance, and data quality.
    • Collaborate with data scientists to monitor models post-production and define strategies to improve overall production landscape.

    Requirements

    • BSc Computer Science specializing in Data Science or Data Engineering (Honours or Master's), IT degree, Data Engineering, or related.
    • 3 - 5 years working experience.
    • Expert in programming languages such as MS SQL, Oracle PL/SQL, DAX, MQL, SSIS, (Mongo Query Language), and (R, Python, Scala, .Net, or Java).
    • Essential skills required (MS SQL, Oracle PL/SQL, DAX, MQL).
    • Expert database knowledge in SQL and experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure Stream Analytics, and PowerBI.

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