As a Data Engineer at Nedbank, you'll be working on big data and streaming solutions. This role is perfect for someone who enjoys building data pipelines and has a passion for AI and machine learning.
Innovative and tech-focused
Nedbank is looking for a Data Engineer to join their team in Johannesburg. In this role, you will focus on creating and maintaining data warehouse layers, including Data Reservoirs and Enterprise Data Marts. Your work will involve engineering big data solutions and streaming data using technologies like Hadoop and Kafka.
On a daily basis, you will be responsible for developing and testing APIs using tools such as REST, Postman, and Swagger. Familiarity with AI and machine learning tools like PyTorch, TensorFlow, and MLFlow will be beneficial, as these technologies are increasingly integrated into data solutions.
This position is ideal for someone who is detail-oriented and enjoys working with data. You should have a solid understanding of data engineering principles and be comfortable with both development and testing processes. If you are passionate about building efficient data pipelines and have experience with big data technologies, this role could be a great fit for you.
Key responsibilities include: • Engineering big data and streaming solutions • Developing and testing APIs • Collaborating with data scientists and analysts to ensure data quality and accessibility
To succeed in this role, you should have a strong technical background in data engineering and be familiar with the tools and technologies mentioned. If you are ready to take on the challenge of working in a dynamic and innovative environment, consider applying to join Nedbank.
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