
High-Performance Data Architect
3 days ago
As a skilled Data Engineer, you will drive real-time analytics and insights for our organization.
Main Responsibilities:- Data Engineering Expertise: Develop extensive knowledge of Apache Druid in production environments to ensure high-performance data processing.
- Real-Time Analytics Solutions: Create a solid understanding of OLAP systems and columnar storage to meet business needs.
- Data Optimization Strategies: Apply expertise in SQL, query optimization, and data modeling for Druid to maximize data retrieval efficiency.
- Integration and Deployment of Cloud-Native Solutions: Integrate Druid with Kafka, Hadoop, Spark, or Flink, and deploy cloud-native solutions (AWS, Azure, GCP) to ensure seamless data flow.
- Monitoring and Troubleshooting: Utilize tools like Grafana, Prometheus, ELK, Splunk for effective monitoring and debugging in distributed systems.
You will be part of a collaborative team that drives innovation through cutting-edge technology and robust data infrastructure. As a Data Engineer at our organization, you will contribute to the development of efficient data systems, ensuring timely decision-making and strategic growth.
Key Qualifications:- Apache Druid Expertise
- SQL and Query Optimization Skills
- Data Modeling and Integration Experience
- Cloud-Native Solution Deployment
- Distributed System Monitoring and Troubleshooting
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