Description

Design and deploy telemetry analytics solutions optimized for low latency and high throughput.

Responsibilities

• Design and deploy Apache Druid architectures for high-throughput telemetry analytics.
• Manage data schemas, ingestion pipelines, and hardware planning.
• Optimize Druid cluster configurations and performance for large-scale environments, such as 0.5PB datasets.
• Troubleshoot cluster issues and tune configurations for latency reduction.
• Build analytics and AI platforms integrating model training and serving pipelines.

Required Skills

• 5+ years of experience in data engineering or analytics architecture.
• Deep expertise in Apache Druid architecture and configuration optimization.
• Hands-on experience with Kafka, Flink, and Spark.
• Experience managing large-scale, high-volume Druid clusters.
• Knowledge of designing data pipelines for AI model training and serving.
• Bachelor’s Degree in a relevant technical field.

Key Skills

Education

Bachelor’s Degree