As a Data Engineer at Africonology Solutions, you'll focus on automating data processes and ensuring data integrity within the financial sector. Your expertise in data engineering and familiarity with securities and lending will be crucial to the team's success.
Africonology Solutions is looking for a skilled Data Engineer with a strong background in securities and lending. In this role, you will work on automating data flows and ensuring that data processes are efficient and compliant with financial regulations. Your day-to-day tasks will involve implementing automated testing and provisioning of test data in non-production environments, which is essential for maintaining the quality and security of data operations.
You will need to have a solid understanding of data engineering principles and be proficient in database management and architecture design. Familiarity with data processing frameworks like Apache Spark or Hadoop is crucial, as you will be working with large datasets typical in the financial sector. Additionally, knowledge of securities and lending data structures will help you navigate the complexities of the role.
Key responsibilities include: • Achieving a minimum of 85% automation coverage across various data flows and testing processes. • Implementing automated test data provisioning exclusively in non-production environments. • Ensuring compliance with financial regulations and standards relevant to banking data.
To succeed in this position, you should have a postgraduate qualification in Data Science, Finance, or a related field. Experience with data visualisation tools such as Power BI or Tableau is a plus, as it will enhance your ability to present data insights effectively. This role is ideal for someone who is detail-oriented and passionate about leveraging data to drive business decisions in the financial industry.
You'll be taken to the original listing on PNet to apply.