As a Data Engineer at Nedbank, you'll be working on big-data and streaming solutions. This role is ideal for someone who enjoys building and optimizing data pipelines and has a passion for working with advanced data technologies.
Innovative and tech-focused
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, which are crucial for the bank's data strategy. You will work with various technologies, including Hadoop and Kafka, to develop and test data solutions that support the bank's operations and decision-making processes.
Your day-to-day responsibilities will include building and maintaining data pipelines, ensuring data quality, and collaborating with other teams to integrate data solutions. You will also be involved in using tools like REST, Postman, and Swagger for development and testing purposes.
This position is well-suited for someone with a strong technical background in data engineering and a keen interest in AI and machine learning. Familiarity with tools such as PyTorch, TensorFlow, and MLFlow will be beneficial, although not mandatory. You should be comfortable working in a fast-paced environment and be able to adapt to new technologies as they emerge.
To succeed in this role, you should have a solid understanding of big data technologies and be able to work collaboratively with cross-functional teams. If you are passionate about data and eager to contribute to innovative solutions in the banking sector, this could be the perfect opportunity for you.
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