Big Data & Infrastructure Engineer (Time-Series Specialist)

Stack

Responsibilities

• ▹Evaluate and select the optimal Big Data/NoSQL engine for high-frequency FX market data and trade execution logs
• ▹Own end-to-end installation, configuration, scaling and long-term maintenance of the database environment
• ▹Design the database schema and storage strategy for massive datasets with high availability and resilience
• ▹Build and tune complex time-series queries (e.g. Effective Spread, Last Look Hold Times) for sub-second response times
• ▹Act as subject matter expert, training GUI developers on efficient data retrieval practices
• ▹Collaborate closely with the team leader and GUI developers on data infrastructure requirements

Requirements

• ▹Deep knowledge of at least one industry-leading Big Data or time-series database (e.g. ClickHouse, InfluxDB or ScyllaDB/Cassandra)
• ▹Proven experience managing high-velocity data environments (streaming ticks, execution logs, order book events)
• ▹Strong proficiency writing and optimizing complex queries over billions of rows
• ▹Extensive experience in Linux-heavy environments with system-level performance and low-latency tuning
• ▹Ability to translate business metrics into efficient data structures
• ▹Excellent English communication skills

Nice to have

• ▹Experience in the financial industry (FIX protocol, FX trading)
• ▹Background in high-performance hardware/software integration
• ▹Experience scripting automation with Python or Bash

Soft skills

What we offer

• ▹Fully remote position (based in Ukraine)

About the company

Fluent Trade Technologies is a global fintech firm delivering ultra low-latency market data and trading strategy solutions to the world's largest banks and hedge funds, with an R&D center in Jerusalem and global development teams.