As a Data Engineer at Nedbank, you'll be at the forefront of building and maintaining big data solutions. This role is ideal for someone passionate about data architecture and streaming technologies.
Innovative and data-driven
Nedbank is looking for a Data Engineer to join their team in Johannesburg. In this role, you will work on engineering big data and streaming solutions, focusing on creating efficient data architectures that support various business needs. Your day-to-day tasks will involve developing and testing data pipelines and ensuring they integrate seamlessly with existing systems.
You will be working with technologies like Hadoop and Kafka to manage large datasets and facilitate real-time data processing. Familiarity with RESTful services and tools such as Postman and Swagger will be essential for testing and documenting your work. Additionally, having knowledge of AI and machine learning tools like PyTorch, TensorFlow, and MLFlow will be beneficial, as the team often explores advanced analytics and predictive modeling.
This role suits someone who enjoys problem-solving and has a strong foundation in data engineering principles. You should be comfortable working in a fast-paced environment and be eager to learn and adapt to new technologies. Strong analytical skills and attention to detail will be crucial for success in this position.
Key requirements include experience with big data technologies, proficiency in REST APIs, and a solid understanding of data warehousing concepts. If you are passionate about data and want to contribute to innovative solutions in the banking sector, this could be the perfect opportunity for you.
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