
CONSULTANT SPECIALIST
- Guangzhou, Guangdong
- Contract
- Full-time
- Design and deploy real-time data platforms (Kafka/Flink/ClickHouse/Redis) on Kubernetes, ensuring high availability and low latency.
- Automate foundational component deployment using Helm/Kustomize and CI/CD tools.
- Build data warehouse models and graph database topologies for AIOps use cases (e.g., fault prediction, root-cause analysis).
- Define data quality rules, track lineage, and standardize data asset directories.
- Use metadata tools (e.g., Apache Atlas) for lifecycle management and asset valuation.
- Optimize Kafka/Flink performance (e.g., checkpointing, partitioning) to resolve bottlenecks.
- Monitor K8s clusters (Prometheus/Grafana/ELK), configure logging, and implement automated operations.
- Deliver end-to-end data solutions to integrate analytics with network operations (e.g., intelligent alerts, topology visualization).
- Expert in Kafka/Flink for real-time pipelines; experienced in K8s deployment (Helm/StatefulSet).
- Proficient in graph databases (Neo4j), ClickHouse/Redis tuning, and data governance (standards, metadata, lineage).
- Deep understanding of 3NF/Star schemas; hands-on with OLAP tools (e.g., ClickHouse/Kylin).
- Skilled in monitoring tools (Prometheus/Grafana/ELK) for K8s and Flink/Kafka optimization.
- 5+ years in data architecture/development, with financial/Internet network operations experience preferred.