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Urgent! Lead KDB Engineer Job Opening In New York County New York – Now Hiring Open Systems Technologies



Job description

A financial firm is looking for a Lead KDB Engineer to join their team in New York, NY.





Compensation: $200k base + bonus 



Responsibilities:




  • Design, develop, and maintain kdb+ databases and risk engine components.

  • Develop solutions in Q/kdb+, Python/PyKX to enhance market risk data processing.

  • Implement scalable and high-performance computing solutions for market risk analytics.

  • Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.

  • Optimize risk data processing pipelines to improve efficiency and response time.

  • Ensure compliance with regulatory requirements for market risk technology.

  • Work in an Agile development environment, ensuring timely and efficient product delivery.

  • Provide technical leadership and mentorship to junior developers in the squad.

  • Troubleshoot and resolve performance issues within KDB+ and risk analytics platforms.



Qualifications:

Required




  • Hands-on experience with kdb+/Q.

  • Proficiency in Python and PyKX for data analytics and processing.

  • Experience in designing and building large-scale business-critical systems.

  • Strong fundamentals in data structures and algorithms.

  • Ability to understand market risk domain and its data and implement efficient data solutions.

  • Strong problem-solving and analytical thinking.

  • Ability to act autonomously in complex decision-making.

  • Capacity to develop and manage operational initiatives that align with business goals.

  • Good communication skills.

  • Must be comfortable and effective working independently (team is global - mostly in Budapest, with some presence in NY & Montreal).

  • 5+ years of designing and building apps - building distributed systems is a plus.



Preferred




  • Experience with Java, kdb Insights a plus.

  • Architectural understanding of kdb+ and distributed computing.

  • Exposure to big data technologies such as Apache Spark.

  • Familiarity with Agile software development and DevOps best practices.

  • Experience with cloud technologies such as AWS, Azure, or Google Cloud Platform (GCP).

  • Knowledge of cloud-based data processing frameworks and containerized deployments (Docker, Kubernetes).

  • Experience with Financial technologies (FinTech) or background in finance.




Required Skill Profession

Architecture And Engineering



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