Senior Data Engineer at MultiChoice

Key Performance Objectives

Compliance

• 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

Operational Delivery

• Assist in designing 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.

Technical Competency

• Be accountable for solutions, their sustainability and accuracy as well as  dates against it’s deliverables
• Share knowledge and practical experience with community.
• Implement best practice Data warehousing development based on methodology adopted for solution by Architecture

Qualifications:

• A Bachelor’s Degree in Computer Science, Information Technology or Equivalent Qualification
• Technology Certifications in Databricks, Azure, Data Engineering and other technologies highly advantageous

Experience

• Minimum 5 years exposure to Human Capital Processes and Tools
• Minimum 3 years’ experience as a Data Engineer
• Solid understanding of Master Data, Data Quality
• Proficiency in SQL n 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 in Dimensional Modeling