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2 days ago
This role involves designing and building high-performance data processing systems using Apache Druid.
Key Responsibilities:- Proficiency in SQL, query optimization, and data modeling: Strong knowledge of SQL and data modeling principles is required for this position. Proficiency in query optimization techniques will ensure efficient data processing.
- Integration with Kafka, Hadoop, Spark, or Flink: Experience integrating Apache Druid with other big data technologies like Kafka, Hadoop, Spark, or Flink is essential for successful system integration.
- Linux administration, shell scripting, and JVM tuning: A strong understanding of Linux administration, shell scripting, and JVM tuning is necessary for managing and optimizing the performance of the Druid cluster.
- Monitoring/logging tools (Grafana, Prometheus, ELK, Splunk): Familiarity with monitoring and logging tools such as Grafana, Prometheus, ELK, and Splunk is required for real-time system monitoring and issue resolution.
- Cloud-native deployments (AWS, Azure, GCP): Exposure to cloud-native deployments on platforms like AWS, Azure, and GCP is desired for flexible and scalable system deployment.
- Debugging and problem-solving skills in distributed systems: Good debugging and problem-solving skills are necessary for identifying and resolving issues in complex distributed systems.
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