Job description

Senior Data Engineer [6 Month Contract]

Minimum Requirements:

  • Matric (Grade 12)
  • A Bachelors Degree in Computer Science, Information Technology or Equivalent Qualification
  • Technology Certifications in Databricks, Azure, Data Engineering and other technologies highly advantageous
  • Minimum 8 years experience as a Data Engineer
  • Proficiency in SQL, Python and other programming languages commonly used in data engineering.
  • Experience with data visualization tools such as Paginated reports (SSRS), Power BI, Tableau or QlikView
  • Experience in developing solutions in cloud technologies including but not limited to Azure, Databricks, SQL and Data Lake
  • Experience with distributed computing systems, such as Hadoop and Spark
  • Experience in Dimensional Modeling


Responsibilities:

  • Interpret requirements provided by 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 Multichoice
  • 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 accuracy and consistency of data
  • Develop and maintain documentation for data models, data lineage, and data flow
  • Lead technical delivery within squads and provide oversight of solutions
  • Share knowledge and practical experience with community
  • Challenge and contribute to development of architectural principals and patterns
  • Mentor and coach junior data engineers to develop their skills and expertise

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