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Highly Skilled Data Engineer
2 weeks ago
As a seasoned professional, you will play a pivotal role in designing and developing data architectures that drive business growth.
- Drive the development of cutting-edge data solutions leveraging Apache Druid in production environments.
- Cultivate strong expertise in real-time analytics, OLAP systems, and columnar storage technologies.
- Pursue proficiency in SQL, query optimization, and data modeling for Druid to deliver optimal performance.
- Integrate Druid with various ecosystems including Kafka, Hadoop, Spark, or Flink to foster seamless data flow.
- Stay abreast of industry trends and developments in Linux administration, shell scripting, and JVM tuning.
- Develop knowledge of monitoring/logging tools such as Grafana, Prometheus, ELK, and Splunk to ensure proactive issue resolution.
- Explore cloud-native deployments on AWS, Azure, and GCP to remain at the forefront of technological advancements.
Essential Requirements:
- 5+ years of experience in big data engineering with a focus on Apache Druid.
- Strong hands-on experience with real-time analytics, OLAP systems, and columnar storage technologies.
- Excellent problem-solving skills in distributed systems with a keen eye for detail.
Why Join Us?
- Be part of a dynamic team driving innovation in data engineering.
- Contribute to high-profile projects shaping the future of data architecture.
- Collaborate with cross-functional teams to drive business outcomes.
- Enjoy a comprehensive benefits package tailored to support your well-being.