Analytics Database Administrator - Data Platform
Silverpeople
Key Responsibilities :- Manage and administer ClickHouse environments for analytics, dashboards, reporting, and large-scale query workloads.- Manage Elasticsearch clusters for search, indexing, application search, logs, and analytical search workloads.- Manage Kafka platform operations including topics, partitions, retention, consumer lag, brokers, replication, and cluster health.- Monitor query performance, ingestion delay, storage growth, failed jobs, data freshness, Kafka lag, index growth, and cluster capacity.- Tune ClickHouse tables, partitions, ordering keys, materialized views, projections, compression, memory usage, and query performance.- Tune Elasticsearch indexes, mappings, shards, replicas, lifecycle policies, heap usage, query latency, and indexing performance.- Manage Kafka topic design, retention policy, replay strategy, consumer group monitoring, and broker-level performance.- Support ETL/ELT, CDC, Kafka Connect, Airflow, Debezium, and data pipeline operations.- Troubleshoot production issues related to slow dashboards, query failures, ingestion delays, Kafka lag, Elasticsearch latency, and ClickHouse memory/storage issues.- Define backup, restore, replication, retention, archival, and DR processes for analytical platforms.- Work with data engineering, BI, application, infrastructure, and security teams for platform reliability.- Create operational dashboards, alerts, SOPs, capacity plans, and platform runbooks.Required Skills:- Strong experience with analytical or data platform administration.- Hands-on experience with ClickHouse or similar OLAP databases.- Good experience with Elasticsearch administration, indexing, search performance, and cluster management.- Good understanding of Kafka operations, topics, partitions, retention, brokers, consumer lag, and replay.- Strong knowledge of Linux, storage, memory, networking, monitoring, alerting, and production troubleshooting.- Experience with Airflow, Debezium, Kafka Connect, Grafana, Prometheus, CloudWatch, Superset, Tableau, or Power BI is preferred.Experience :- 8 to 10 years of experience in DBA, data platform operations, data engineering operations, or analytics platform support.- Strong production experience in large-volume analytical workloads, reporting platforms, streaming platforms, or search platforms. (ref:hirist.tech)
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