Data Engineer - Sandton - Boardroom Appointments

    Boardroom Appointments
    Boardroom Appointments Sandton

    1 week ago

    Boardroom Appointments background
    Description

    Job Title: Data Engineer

    Summary

    A 12-month contract position is available for a Data Engineer to design, build, and maintain scalable data pipelines. The ideal candidate will have extensive experience in ETL development and proficiency in SQL, SAS, Oracle, and other database technologies.

    Key Responsibilities:

    • Data Pipeline Development
      • Design and develop scalable data pipelines to meet business needs.
      • Maintain and optimize existing data pipelines for improved performance.
    • Data Integration and Management
      • Integrate data from multiple sources to create a unified data environment.
      • Ensure data quality and consistency across different systems.
    • Performance Optimization
      • Monitor and optimize the performance of data pipelines and ETL processes.
      • Implement best practices for data storage and retrieval.
    • Collaboration and Communication
      • Work closely with data scientists, analysts, and other stakeholders to understand data needs and requirements.
      • Collaborate with cross-functional teams to ensure seamless data integration.
    • Troubleshooting and Support
      • Identify and resolve data-related issues and discrepancies.
      • Provide support for data-related queries and requests.

      Qualifications:

      • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
      • 5+ years of experience in data engineering and ETL development.
      • Extensive experience in developing and maintaining data pipelines.
      • Proficiency in SQL, SAS, Oracle, and other database technologies.
      • Exposure to Cloud Technology (Azure).
      • Exposure to Ab Initio.

      Preferred Qualifications:

      • Experience with cloud platforms such as Azure.
      • Familiarity with scripting languages like Python or R.
      • Knowledge of data governance and security practices.
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