Roles & Responsibilities:

Design, build, and scale real-time and batch data processing platforms using technologies such as Spark, Flink, Kafka, ClickHouse, and Iceberg .
Develop and maintain automation pipelines to deploy, operate, and scale data systems on Kubernetes and AWS ECS .
Collaborate closely with product, engineering, and analytics teams to deliver reliable and high-performance data services.
Continuously evaluate, experiment with, and adopt new data platform technologies to improve scalability and efficiency.
Build and support AI-driven data capabilities , including automated PII detection, root cause analysis, and text-to-SQL solutions.
Ensure high availability, performance, monitoring, and observability of data infrastructure at large scale.
Troubleshoot production issues and optimize systems for reliability, cost, and performance .

Data Platform Engineer