Real-Time Data Engineer — Data Lakes & Warehouses
Summary
Designs and implements data ingestion frameworks for batch and real-time streams, building scalable data warehouses and lakes to support low-latency analytics.
Zensys in Sydney, NSW is seeking a data engineer to design and implement data ingestion frameworks for batch and real-time streams. You will work with relational and NoSQL databases and cloud streaming services to deliver low-latency data flows.
The role focuses on building scalable data warehouses and data lake architectures, with data modelling as a plus. You will collaborate with cross-functional teams to ensure high data quality and availability in analytics workloads.
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