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Solidus Labs
Solidus Labs
51 – 200 Darbinieki
H1B vīzas sponsorsFintechKiberdrošība
Solidus Labs izstrādā drošības un atbilstības programmatūru digitālo aktīvu ekosistēmai. Uzņēmuma produktu portfelī ietilpst tirdzniecības uzraudzība, darījumu uzraudzība un Staking Guard, kas palīdz organizācijām identificēt un pārvaldīt riskus visā digitālo aktīvu aprites ciklā. Uzņēmums darbojas kiberdrošības, finanšu tehnoloģiju un programmatūras izstrādes krustpunktā.
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Vakances uzņēmumā

Senior Data Engineer, ClickHouse Infrastructure — Solidus Labs (Hybrid, UK)

Senior Data Engineer responsible for scaling ClickHouse infrastructure behind Solidus Labs’ trade-surveillance platform. The role covers high-volume data pipelines, cluster architecture, reliability, and observability across real-time and batch workloads.

GBApvienotā KaralisteHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AirflowApacheGrafanaJavaKafkaKubernetesPrometheusPythonRedisRustSparkSQL

Apraksts

  • Design and optimize ClickHouse data architecture, including table engines, partitioning, materialized views, and storage policies
  • Manage ClickHouse cluster sizing, topology, and capacity planning for real-time ingestion and T+1 batch processing
  • Lead data reliability and deduplication practices across ClickHouse and related pipelines
  • Build and enhance monitoring, alerting, and observability for replication, merges, query latency, and resource usage
  • Act as the company’s ClickHouse specialist and guide engineering teams on query optimization and data modeling
  • Partner with the ClickHouse vendor to investigate issues, assess capabilities, and deliver improvements
  • Work with analytics, machine learning, and product teams to improve storage, schemas, formats, and query performance
  • Set and uphold ClickHouse standards for schema versioning and data governance

Prasības

  • Bachelor’s degree in computer science
  • At least five years of hands-on software engineering experience with Java, Rust, or Python
  • Eight or more years of experience building data engineering systems and pipelines for high-volume, low-latency production environments
  • Professional experience developing low-latency, real-time systems that process billions of events daily
  • Advanced practical knowledge of ClickHouse, including cluster architecture, table engines, replication, sharding, and query optimization
  • Strong experience with Apache Kafka, Spark, Airflow, Kubernetes, Redis, Snowflake, and caching systems
  • Expert SQL and query-tuning capabilities, including ClickHouse materialized views, projections, TTLs, and MergeTree optimization
  • Experience using observability platforms such as Prometheus and Grafana
  • Demonstrated curiosity, independence, and initiative in identifying and delivering solutions
  • Excellent written and spoken communication skills, with the ability to coach and influence engineers across distributed teams

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