Posted:2 days ago|
Platform:
On-site
Part Time
Senior Data Streaming Engineer Build, and maintain a real-time, file-based streaming data platform leveraging open-source technologies.
The ideal candidate will have experience with Kubernetes (K8s), Apache Kafka, and Java multithreading, and will be responsible for:
• Developing a highly performant, scalable streaming architecture optimized for high throughput and low memory overhead • Implementing auto-scaling solutions to support variable data loads efficiently
• Integrating reference data enrichment workflows using Snowflake • Ensuring system reliability and real-time processing across distributed environments
• Collaborating with cross-functional teams to deliver robust, cloud-native data solutions • Build scalable and optimized ETL/ELT workflows leveraging Azure Data Factory (ADF) and Apache Spark within Databricks.
Azure,KAFKA,JAVA,KUBERENETES
UST Global
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