iOCO

  • Western Cape
  • iOCO
Job Description:

  • Beware of scammers who pose as reprensentatives of genuine employers.

    Our Purpose Statement Empowering business and society through people and technology On 1st August 2019, we announced the launch of our new ICT brand, a brand our people will take forward to deliver ICT services in South Africa and EMEA markets. A big part of our new ICT brand is that its been designed for us, the people to serve our clients as one, a...

    Data Engineer (Cape Town)

    What you’ll do:

    • Design, develop, and maintain data pipelines and ETL processes to support various business needs.
    • Build and optimize data cubes to enable advanced data analysis and reporting.
    • Collaborate with data developers and analysts to ensure data quality and integrity.
    • Work with cloud platforms to deploy and manage data solutions, ensuring scalability and performance.
    • Utilize MS Fabric to integrate and manage data flows across various environments.
    • Monitor, troubleshoot, and optimize data systems to ensure efficient operation.

    Skills and Experience

    Your expertise:

    • Must have a relevant 3-year IT experience or related qualification.
    • 3+ years of experience in data pipeline design and development.
    • Proficiency in SQL.
    • Proficiency in Analysis Services (SSAS) as well as Integration Services (SSIS).
    • Experience with RDBMS technologies such as SQL Server, MySQL, and PostgreSQL.
    • Ability to use common scripting languages such as PowerShell, Bash, or Python for automation.
    • Experience using unit and integration tests.
    • Experience working with production BI environments and tools such as Tableau and Pyramid Analytics.
    • Strong analytical and problem-solving skills.
    • Proven experience in data development and data engineering roles.
    • Expertise in cube building and data modeling.
    • Hands-on experience with MS Fabric or similar tools.
    • Solid understanding of data warehousing, ETL processes, and data integration.
    • Strong problem-solving skills and attention to detail.
    • Excellent communication and teamwork abilities.

    Other

    Preferred Qualifications:

    • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
    • Familiarity with data visualization tools (e.g., Power BI, Tableau) is advantageous
  • Aptitude Tests

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