Key Responsibilities:

• Data Collection and Integration: Gather data from various sources, such as databases, APIs, and external providers. Design and implement data pipelines to ensure smooth data flow into storage systems.
• Data Storage and Management: Storing and managing data efficiently. This includes setting up databases and data warehouses, ensuring data is organized and accessible for analysis.
• Data Pipeline Development: Build and maintain data pipelines that automate the extraction, transformation, and loading (ETL) of data. These pipelines ensure that data is processed and available for use in a timely manner.
• Data Quality and Reliability: Ensuring the accuracy, consistency, and reliability of data is crucial. Implement processes and tools to monitor and improve data quality, addressing any issues that arise.
• Collaboration: Work closely with analysts, and other stakeholders to understand data needs and provide the necessary infrastructure and support. This collaboration helps in aligning data solutions with business goals.

Requirements

Qualifications:

• Grade 12 / Matric / NQF4 Equivalent
• Relevant Diploma or Degree in Computer Science Advantageous

Technical Skills:

• Proficiency in SQL and database management.
• Experience with big data tools (e.g., Spark, Azure Data Factory, Microsoft Fabric).
• Knowledge of programming languages such as Python or Java.
• Familiarity with cloud platforms (e.g. Azure).