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5 days ago
A skilled Data Engineer is needed to design, develop, and maintain large-scale data systems using Apache Druid. The ideal candidate should have a deep understanding of real-time analytics, OLAP systems, and columnar storage.
- Design and implement efficient data models for querying and analytics
- Develop and maintain high-performance Apache Druid clusters in production environments
- Integrate Druid with Kafka, Hadoop, Spark, or Flink for data processing and streaming
- Collaborate with cross-functional teams to design cloud-native data architectures
- Monitor and troubleshoot distributed system issues using tools like Grafana, Prometheus, ELK, and Splunk
- 5+ years of experience in designing and developing large-scale data systems
- Hands-on experience with Apache Druid in production environments
- Strong understanding of real-time analytics, OLAP systems, and columnar storage
- Proficiency in SQL, query optimization, and data modeling
- Experience integrating Druid with Kafka, Hadoop, Spark, or Flink
- Knowledge of Linux administration, shell scripting, and JVM tuning
- Familiarity with monitoring/logging tools
- Exposure to cloud-native deployments (AWS, Azure, GCP)
- Good debugging and problem-solving skills in distributed systems
The successful candidate will be responsible for the following key responsibilities:
- Develop and maintain high-performance Apache Druid clusters
- Design and implement efficient data models for querying and analytics
- Integrate Druid with various data processing tools
- Collaborate with cross-functional teams to design cloud-native data architectures
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