Demo

KDB+/Time Series Developer

Source Technology
New York, NY Contractor
POSTED ON 1/22/2025
AVAILABLE BEFORE 3/17/2025

Job Title: KDB /Time Series Engineer

Location: Boston, MA, or New York, NY (Hybrid/Onsite options available)

Type: Full-Time/Contract

Job


Description:

We are seeking a skilled KDB /Time Series Engineer with 5 years of experience to join our team in either Boston or New York. This role is focused on developing, maintaining, and optimizing time-series data platforms to support high-performance data analysis for financial and technical applications.


Key Responsibilities:

  • Design, develop, and maintain KDB solutions for time-series data analysis.
  • Work on real-time data processing and analytics for large-scale, high-frequency data systems.
  • Develop and optimize queries, scripts, and processes for data ingestion, transformation, and storage.
  • Collaborate with cross-functional teams to implement data-driven solutions that align with business objectives.
  • Troubleshoot and resolve performance issues in KDB environments.
  • Provide insights and recommendations based on time-series data analysis.


Required Skills and Experience:

  • 5 years of hands-on experience with KDB /Q programming and time-series databases.
  • Proven track record of building and managing scalable, high-performance data systems.
  • Strong understanding of real-time data processing and analytics workflows.
  • Experience in financial services, trading, or other industries with large-scale data is highly desirable.
  • Proficiency in working with Linux/Unix environments and scripting languages.
  • Familiarity with tools and technologies for data visualization and reporting.
  • Excellent problem-solving and analytical skills with attention to detail.


Desirable Qualifications:

  • Experience with cloud-based data solutions (AWS, Azure, or GCP).
  • Background in Python, Java, or similar programming languages for integration and automation.
  • Strong communication skills and ability to work collaboratively with diverse teams.

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