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High Performance Data Architect
3 weeks ago
Job Overview:
">We are seeking a highly skilled Data Engineer to design, implement and maintain large-scale data processing systems using Apache Druid.
">- Design scalable data pipelines in production environments.
- Develop solid understanding of real-time analytics, OLAP systems and columnar storage technologies.
- Proficient in SQL query optimization, data modeling and performance tuning for Druid.
- Integrate Druid with big data tools like Kafka, Hadoop, Spark or Flink.
- Utilize Linux administration, shell scripting and JVM tuning skills to ensure smooth operation of data systems.
- Monitor and debug distributed systems using tools like Grafana, Prometheus, ELK or Splunk.
- Cloud-native deployments on AWS, Azure or GCP experience is desired but not required.
Key Responsibilities:
">- Collaborate with cross-functional teams to develop and implement data solutions.
- Design and implement data architectures that meet business requirements.
- Optimize data processing systems for high performance and scalability.
- Ensure data security, integrity and compliance.
- Stay up-to-date with industry trends and emerging technologies.
Benefits:
">- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
