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Zensys is hiring a Real-Time Data Engineer in Sydney to design data ingestion frameworks for batch and streaming workloads across relational/NoSQL stores and data lakes/warehouses, building low-latency pipelines with platforms like AWS Kinesis or Apache Kafka and strong data modeling.
A data engineer in Sydney who builds frameworks for batch and low-latency real-time data ingestion and constructs data warehouses and data lakehouses. Core technologies include AWS Kinesis, Apache Kafka, and relational/NoSQL databases or filesystems.
Previous experience in developing framework for batch and real time data ingestions in relation and no-sql databases or filesystems. Previous experience in Real time data ingestion with low latency with experience on…
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow MWAA, and Redshift to power analytics and data warehousing.
Designs and implements AI solutions using LLMs and data pipelines, collaborating with teams to solve business problems through AI-driven architectures.
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