
Senior Data Systems Architect
5 days ago
Job Description
">As a seasoned data engineer, you will play a key role in designing and implementing large-scale data systems that provide real-time insights to our organization.
">Key Responsibilities:
">- ">
- Develop and maintain high-performance data pipelines using Apache Druid.">
- Collaborate with cross-functional teams to design and implement real-time analytics solutions.">
- Design and optimize complex queries to improve system performance and scalability.">
- Work closely with engineering teams to integrate Druid with other technologies such as Kafka, Hadoop, Spark, and Flink.">
- Contribute to the development of monitoring and logging tools to ensure seamless operation of our data systems.">
Requirements:
">To succeed in this role, you will need to have strong hands-on experience with Apache Druid, as well as a solid understanding of real-time analytics, OLAP systems, and columnar storage.
">Proficiency in SQL, query optimization, and data modeling for Druid is also essential. Additionally, experience integrating Druid with other technologies and knowledge of Linux administration, shell scripting, and JVM tuning are highly desirable.
">Preferred Qualifications:
">Experience with cloud-native deployments (AWS, Azure, GCP) and familiarity with monitoring/logging tools (Grafana, Prometheus, ELK, Splunk) would be a significant advantage.
">Good debugging and problem-solving skills in distributed systems are also crucial for success in this role.
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