
Senior Big Data Engineer
18 hours ago
We are seeking a highly skilled Data Engineer to drive the success of our large-scale data processing systems.
The ideal candidate will have strong hands-on experience with Apache Druid in production and a solid understanding of real-time analytics, OLAP systems, and columnar storage.
- Proficiency in SQL, query optimization, and data modeling for Druid is essential.
- Experience integrating Druid with Kafka, Hadoop, Spark, or Flink is also required.
- Familiarity with monitoring/logging tools such as Grafana, Prometheus, ELK, Splunk, and Linux administration, shell scripting, and JVM tuning is necessary.
- Exposure to cloud-native deployments on AWS, Azure, or GCP is desirable.
- Good debugging and problem-solving skills in distributed systems are essential for success in this role.
Our team is responsible for designing, building, and maintaining large-scale data processing systems. We require a skilled Data Engineer who can work collaboratively to deliver high-quality solutions.
Required Skills and Qualifications:- Hands-on experience with Apache Druid
- Strong understanding of real-time analytics, OLAP systems, and columnar storage
- Proficiency in SQL, query optimization, and data modeling for Druid
- Experience integrating Druid with Kafka, Hadoop, Spark, or Flink
- Familiarity with monitoring/logging tools and Linux administration
- Good debugging and problem-solving skills in distributed systems
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