Big Data Engineer – Time-Series Specialist

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Assess and choose the best Big Data/NoSQL engine to manage high-frequency FX market data and trade execution logs.

• Take full responsibility for the complete installation, configuration, scaling, and ongoing maintenance of the database environment.

• Create the database schema and storage strategy to accommodate large datasets while ensuring high availability and resilience.

• Develop and optimize complex time-series queries that calculate metrics such as Effective Spread and Last Look Hold Times to guarantee sub-second responses for real-time monitoring tools.

• Serve as the subject matter expert, educating GUI developers and team members on best practices for efficient data retrieval and interaction with the data layer.

• Collaborate closely with the team leader and GUI developers to ensure the data infrastructure meets product requirements.

⛳️ Requirements

• In-depth knowledge of at least one leading Big Data or Time-Series database (e.g., ClickHouse, InfluxDB, or ScyllaDB/Cassandra).

• Demonstrated experience managing "high-velocity" data environments (streaming ticks, execution logs, and order book events).

• Strong ability to write and optimize complex queries for massive datasets (billions of rows).

• Significant experience in a Linux-focused environment with an emphasis on system-level performance and low-latency tuning.

• Capacity to convert business metrics into efficient data structures without needing to write application-level code.

• Excellent communication skills in English.

• Experience in the financial sector (FIX protocol, FX trading, etc.).

• Background in high-performance hardware/software integration.

• Experience with scripting for automation (Python, Bash).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Comprehensive health and wellness benefits.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.