We are looking for a solid AWS Data Engineer with hands-on experience across SageMaker Unified Studio, real-time streaming and batch data ingestion.
You will be working across:
- AWS SageMaker Unified Studio
- AWS Kinesis and Apache Kafka
- Python and Boto3
- AWS Glue and Apache Spark
- Batch and real-time ingestion frameworks
- Data warehouses and lakehouses
- Oracle, Teradata, MongoDB and Snowflake
- AWS security, networking and IAM
This is a technical role focused on building reusable ingestion frameworks, low-latency streaming pipelines and scalable AWS data solutions.
Experience with data governance, machine learning pipelines, GenAI tools or data modelling will be highly regarded.
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📌 Senior AWS Data Engineer (City of Sydney)
🏢 Umbrella Club
📍 City of Sydney
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