Lead architecture and development of cloud data infrastructure supporting real-time health operations dashboards and telematics analytics
Own the health operations dashboard platform—design real-time data aggregation, time-series analytics, and operational dashboards for internal teams
Design and operate scalable data pipelines on Amazon EMR (Apache Spark/Scala) orchestrated with Apache Airflow for high-volume device telemetry processing
Architect and operate production Apache Cassandra clusters for operational data and time-series workloads; optimize schema, compaction strategies, and replication for dashboard query performance
Design streaming pipelines on Amazon Kinesis and Apache Flink for real-time health event processing, status aggregation, and operational alerting
Own end-to-end data quality, schema governance, retention policies, and observability across ingestion, streaming, batch, and query layers
Build highly available Java/Spring Boot services for health metric computation, data operations, and dashboard backends with idempotent consumers and fault handling
Lead design reviews, mentor engineers, investigate production incidents, and drive technical strategy with Product, QA, DevOps, and partner teams
Required Qualifications
6-10 years hands-on backend engineering with deep expertise in Java, Spring, and Spring
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