
Senior Apache Druid Architect
1 week ago
The ideal candidate will design and develop scalable data processing systems using Apache Druid in production environments.
They will collaborate with cross-functional teams to implement real-time analytics solutions, leveraging OLAP systems and columnar storage technologies.
- Optimize SQL queries and design efficient data models for Druid, ensuring high-performance data processing.
- Integrate Druid with Kafka, Hadoop, Spark, or Flink, and other big data ecosystems.
- Stay up-to-date with industry trends and best practices in Linux administration, shell scripting, JVM tuning, and monitoring/logging tools such as Grafana, Prometheus, ELK, and Splunk.
- Develop expertise in cloud-native deployments on AWS, Azure, and GCP platforms.
Responsibilities include:
- Designing and developing data processing systems using Apache Druid.
- Collaborating with cross-functional teams to implement real-time analytics solutions.
- Optimizing SQL queries and designing efficient data models for Druid.
- Integrating Druid with various big data ecosystems.
Requirements include:
- 5+ years of experience in data engineering, with a strong focus on Apache Druid.
- Excellent understanding of real-time analytics, OLAP systems, and columnar storage technologies.
- Proficiency in SQL, query optimization, and data modeling.
- Experience working with distributed systems, including debugging and problem-solving skills.
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