Data Engineer: Scalable Pipelines & Real-Time (Hybrid)
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Summary
Intermediate Data Engineer at AES Global in Johannesburg (hybrid) who builds and supports scalable data pipelines handling large volumes in batch and real time, creates data feeds into AWS, and develops for BI with automated testing and deployment. Core stack: Python, PySpark, AWS.
AES Global in Johannesburg is seeking an Intermediate Data Engineer to build and support scalable data pipelines, handling large data volumes in batch and real time. You will create data feeds into AWS and develop for BI with automated testing and deployment.
The role requires 3–5 years in data/soft engineering, strong Python and PySpark, data modelling, and a bachelor’s degree in CS or related field.