Symphony Corporation
KDB+ Q Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a KDB+ Q Engineer with a contract length of "unknown" and a pay rate of "unknown". Key skills include KDB+, Q programming, monitoring, data aggregation, and performance analysis. Industry experience in quant or trading firms is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 2, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Columbus, OH
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🧠 - Skills detailed
#Monitoring #Data Aggregation #Databases #Programming #Deployment #Time Series
Role description
KDB+ / Q (KDB+ is an ultra low latency high performance time series DB that is used by quant / trading firms that drive millisecond efficiency).
Q is the programming language to interact with KDB+ databases
Deliverables
• Server environment profile report: Generate automated report based on programmatically collected info on server specs, KDB versions, process topology, and deployment architecture
• Data aggregation (Process & Session): List of in-scope running processes, user sessions, and their configurations, and aggregating the data for analysis
• Resource Utilization and Server Log Analysis: Report and dashboard summarizing latency, CPU, memory, disk, and network usage patterns, and recommendations for tuning and optimization to Client team to perform
• Query Performance Analysis: Identification and profiling of slow or resource-intensive queries, with optimization suggestions
• Performance Dashboard: Visual dashboard for real-time monitoring of defined metrics
KDB+ / Q (KDB+ is an ultra low latency high performance time series DB that is used by quant / trading firms that drive millisecond efficiency).
Q is the programming language to interact with KDB+ databases
Deliverables
• Server environment profile report: Generate automated report based on programmatically collected info on server specs, KDB versions, process topology, and deployment architecture
• Data aggregation (Process & Session): List of in-scope running processes, user sessions, and their configurations, and aggregating the data for analysis
• Resource Utilization and Server Log Analysis: Report and dashboard summarizing latency, CPU, memory, disk, and network usage patterns, and recommendations for tuning and optimization to Client team to perform
• Query Performance Analysis: Identification and profiling of slow or resource-intensive queries, with optimization suggestions
• Performance Dashboard: Visual dashboard for real-time monitoring of defined metrics
