As a Data Engineer at Nedbank, you'll work on building and optimizing big data solutions. This role is ideal for someone who enjoys working with data pipelines and streaming technologies.
Innovative and data-driven environment focused on leveraging technology for financial services.
Nedbank is looking for a Data Engineer to join their team in Johannesburg. In this role, you will be responsible for engineering big data and streaming solutions. You'll work with various data warehouse layers, including Data Reservoirs and Enterprise Data Marts, to ensure data is accessible and usable for analysis and reporting.
Your day-to-day tasks will involve developing and testing data solutions using tools like Hadoop and Kafka. You'll also be expected to work with REST APIs and tools such as Postman and Swagger to ensure seamless integration and functionality of the data systems.
The ideal candidate should have a solid understanding of big data technologies and be comfortable working in a fast-paced environment. Familiarity with AI and machine learning tools like PyTorch, TensorFlow, and MLFlow is a plus, as it will enhance your ability to contribute to advanced data projects.
This role suits individuals who are detail-oriented and enjoy problem-solving. If you have a passion for data and want to be part of a team that drives innovation in financial services, this could be the perfect opportunity for you.
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