Product Data Engineer

Product Data Engineer position available. o contribute to the design and development of new applications and systems, analyze business or system requirements, and provide input to solution design documentation to meet the business needs of the product line environment.

What You Will Do

• Design and Development:
  • Contribute to the design and development of new applications and systems to meet business requirements.
  • Analyze business or system requirements and data to enhance understanding of the product line environment.
• Solution Design:
  • Participate in and provide input to the Architect during the compilation of solution design documentation for new and existing products and systems.
• System Analysis:
  • Analyze and interpret data to support decision-making and enhance system functionality.
  • Work with relational data warehouses and ETL tools for data transformation and orchestration.

Education

• Minimum: A relevant tertiary qualification in Information Technology or Data Analysis.
• Ideal or Preferred: A relevant degree in Data Engineering; Certification in Data Warehousing.

Knowledge and Experience

• Experience:
  • Minimum:
    • At least 4 years’ proven experience in management information systems (MIS), data warehousing, data transformation, or systems analysis.
    • OR at least 4-6 years’ experience in management information systems or system analysis.
    • Proven experience with relational data warehouses (e.g., SQL Server, Oracle) and tools for ETL and orchestration.
    • Familiarity with testing methodologies.
  • Ideal:
    • Proven experience in a cloud environment, especially AWS and AWS Technologies.
    • Experience in data analysis and orchestration technologies.
• Knowledge:
  • Minimum:
    • IT systems development processes (SDLC).
    • ETL processes and dimensional modelling.
    • Relational database systems and cloud data warehousing.
    • Standards and governance, SQL.
    • Testing practices.
  • Ideal:
    • Data architecture (technical design and implementation processes).
    • Data Product Life Cycle (DPLC).
    • Banking systems environment and business model.
    • Best practices for Quality Assurance (QA).

Skills

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Effective relationship management skills.

Additional Information

• Clear criminal and credit record required.