Senior Data Engineer

6 days ago

Johannesburg, Gauteng, South Africa Boardroom Appointments Full time R1 000 000 - R3 000 000 per year


Contact 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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