
Data Architect
2 days ago
A highly skilled Data Architect is required to spearhead the development and implementation of real-time analytics systems using Apache Druid.
The ideal candidate will have extensive experience with Apache Druid in production, a solid understanding of OLAP systems, columnar storage, and real-time analytics.
- Key Responsibilities:
- Design and implement high-performance data architectures for large-scale applications.
- Develop and maintain efficient data pipelines for real-time analytics.
- Collaborate with cross-functional teams to ensure seamless integration of Druid with other technologies.
- Optimize Druid performance and troubleshoot issues.
- Stay up-to-date with industry trends and best practices in data engineering and analytics.
About This Role:
This is an exciting opportunity to work on cutting-edge projects and contribute to the growth of our organization. If you are passionate about data engineering and real-time analytics, we encourage you to apply.
Requirements:
- 5+ years of experience with Apache Druid in production.
- Solid understanding of OLAP systems, columnar storage, and real-time analytics.
- Proficiency in SQL, query optimization, and data modeling for Druid.
- Experience integrating Druid with Kafka, Hadoop, Spark, or Flink.
- Knowledge of Linux administration, shell scripting, and JVM tuning.
- Familiarity with monitoring/logging tools (Grafana, Prometheus, ELK, Splunk).
- Exposure to cloud-native deployments (AWS, Azure, GCP).
- Good debugging and problem-solving skills in distributed systems.
What We Offer:
We offer a dynamic work environment, competitive compensation package, and opportunities for growth and professional development.
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