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Senior Big Data, Time-Series Infrastructure Engineer

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đŸ”„ 5 minutes ago

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟠 Senior

đŸ‘· Infrastructure Engineer

đŸ‘» Ghost score 17%

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Logo of Expert Executive Recruiters (EER Global)

Expert Executive Recruiters (EER Global)

51 - 200 employees

Founded 2007

đŸ’Œ Consulting

📩 Logistics

đŸ„ Healthcare

Consulting ‱ Logistics ‱ Healthcare

Expert Executive Recruiters (EER Global) is a global headhunting and recruitment firm specializing in placing senior-level and specialized talent across multiple sectors. They provide services including global recruitment, Recruiting Process Outsourcing (RPO), headhunting, sourcing, and executive search, with sector focus areas such as technology, media, life sciences & medical, cleantech, finance & fintech, manufacturing, retail & trade, and AI recruitment. EER Global operates internationally with offices in the United States, United Kingdom, Israel, and Poland, and has recruited in over 50 countries across North America, South America, Europe, Africa, the Middle East, Asia, and Oceania.

📋 Description

‱ Assess and choose the most suitable Big Data or NoSQL engine for high-frequency market data and trade execution logs ‱ Own installation, configuration, scaling, and long-term operation of the database environment ‱ Define schemas and storage strategies for very large datasets, ensuring high availability and resilience ‱ Write and optimize complex time-series queries for execution quality and liquidity metrics so real-time monitoring tools respond in under a second ‱ Act as the subject matter expert and coach front-end developers and teammates on efficient data-layer usage ‱ Collaborate with the team lead and UI developers to ensure the data infrastructure supports product needs

🎯 Requirements

‱ Deep expertise in at least one leading Big Data or time-series database, such as ClickHouse, InfluxDB, or ScyllaDB/Cassandra ‱ Proven experience operating high-velocity data environments, including streaming ticks, execution logs, and order book events ‱ Strong skills in writing and tuning complex queries over very large datasets, including billions of rows ‱ Extensive experience in Linux-centric environments, with a focus on system-level performance and low-latency tuning ‱ Ability to turn business metrics into efficient data structures, without necessarily writing application-level code ‱ Excellent English communication skills ‱ Experience in financial markets or trading technology, such as FIX protocol, nice to have ‱ Background in high-performance hardware/software integration, nice to have ‱ Automation scripting with Python or Bash, nice to have

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