Big Data & Infrastructure Engineer (Time-Series Specialist) at Fluent Trade Technologies
Worldwide
<p class="editor-paragraph"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Fluent Trade Technologies</strong></b><span style="white-space: pre-wrap;"> is a global fintech software firm at the forefront of providing state-of-the-art technology to the world's largest global banks and hedge funds. Specializing in ultra low-latency strategy and market data solutions, Fluent is committed to delivering cutting-edge innovations to the Financial Industry. With a prominent Israeli R&D center in Jerusalem and global development centers, Fluent is a dynamic and collaborative environment.</span></p><p class="editor-paragraph"><span style="white-space: pre-wrap;">Learn more about us at</span><a href="http://www.fluenttech.net/" target="_blank" rel="noopener noreferrer" class="editor-link"><span style="white-space: pre-wrap;"> www.fluenttech.net</span></a><span style="white-space: pre-wrap;">.</span></p><p class="editor-paragraph"><span style="white-space: pre-wrap;">We are seeking a </span><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Big Data & Infrastructure Architect</strong></b><span style="white-space: pre-wrap;"> to spearhead the data architecture for our new FX Trading Analytics platform. You will be the primary authority on the big-data engine that powers real-time and historical analysis of liquidity, fill ratios, and market impact. This is a </span><b><strong class="editor-text-bold" style="white-space: pre-wrap;">foundational role</strong></b><span style="white-space: pre-wrap;"> where you will select, implement, and optimize the "brain" of our analytics suite. The position is a remote position based in Ukraine.</span></p><p class="editor-paragraph"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Key Responsibilities:</strong></b></p><ul class="editor-list-ul"><li value="1" class="editor-listitem"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Architecture & Tool Selection:</strong></b><span style="white-space: pre-wrap;"> Evaluate and select the optimal Big Data/NoSQL engine to handle high-frequency FX market data and trade execution logs.</span></li><li value="2" class="editor-listitem"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Infrastructure Ownership:</strong></b><span style="white-space: pre-wrap;"> Own the end-to-end installation, configuration, scaling, and long-term maintenance of the database environment.</span></li><li value="3" class="editor-listitem"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">System Design & Configuration:</strong></b><span style="white-space: pre-wrap;"> Design the database schema and storage strategy to support massive datasets while ensuring high availability and resilience.</span></li><li value="4" class="editor-listitem"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Query & Performance Optimization:</strong></b><span style="white-space: pre-wrap;"> Build and tune complex time-series queries (calculating metrics like Effective Spread and Last Look Hold Times) to ensure sub-second responses for real-time monitoring tools.</span></li><li value="5" class="editor-listitem"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Knowledge Leadership:</strong></b><span style="white-space: pre-wrap;"> Act as the subject matter expert, training GUI developers and team members on best practices for efficient data retrieval and interaction with the data layer.</span></li><li value="6" class="editor-listitem"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Technical Collaboration:</strong></b><span style="white-space: pre-wrap;"> Work closely with the team leader and GUI developers to ensure the data infrastructure perfectly supports the product requirements.</span></li></ul> <br><h3>Requirements</h3> <ul class="editor-list-ul"><li value="1" class="editor-listitem"><span style="white-space: pre-wrap;">Deep knowledge of at least one industry-leading Big Data or Time-Series database (e.g., ClickHouse, InfluxDB or ScyllaDB/Cassandra).</span></li><li value="2" class="editor-listitem"><span style="white-space: pre-wrap;">Proven experience managing "high-velocity" data environments (streaming ticks, execution logs, and order book events).</span></li><li value="3" class="editor-listitem"><span style="white-space: pre-wrap;">Strong proficiency in writing and optimizing complex queries for massive datasets (billions of rows).</span></li><li value="4" class="editor-listitem"><span style="white-space: pre-wrap;">Extensive experience in a Linux-heavy environment with a focus on system-level performance and low-latency tuning.</span></li><li value="5" class="editor-listitem"><span style="white-space: pre-wrap;">Ability to translate business metrics into efficient data structures without necessarily writing application-level code.</span></li><li value="6" class="editor-listitem"><span style="white-space: pre-wrap;">Excellent English communication skills.</span></li></ul><p class="editor-paragraph"><b><strong class="editor-text-bold" style="white-space: pre-wrap;">Advantages:</strong></b></p><ul class="editor-list-ul"><li value="1" class="editor-listitem"><span style="white-space: pre-wrap;">Experience in the financial industry (FIX protocol, FX trading, etc.).</span></li><li value="2" class="editor-listitem"><span style="white-space: pre-wrap;">Background in high-performance hardware/software integration.</span></li><li value="3" class="editor-listitem"><span style="white-space: pre-wrap;">Experience with scripting for automation (Python, Bash)</span></li></ul>
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