kdb+/q Developer
Weehawken, NJ
Responsibilities: Prefer to have candidates with some java/SQL experience along with kdb +/q skills
1. Developing kdb+/q Applications: Design, develop, and implement applications using kdb+/q technology.
2. Data Management: Manage large datasets efficiently using kdb+ database.
3. Performance Optimization: Optimize queries and data processing workflows for performance.
4. Integration: Integrate kdb+/q with other systems and data sources as required.
5. Testing and Debugging: Write unit tests and debug code to ensure reliability and robustness.
6. Documentation: Document code and processes thoroughly.
7. Support: Provide support and maintenance for existing applications.
Skills:
1. Proficiency in kdb+/q: Strong knowledge and hands-on experience with kdb+/q programming language.
2. Database Management: Experience in managing large datasets and databases.
3. Problem Solving: Ability to troubleshoot and solve complex technical problems.
4. Performance Optimization: Skills in optimizing queries and data processing.
5. Integration Skills: Experience integrating kdb+/q with other systems and data sources.
6. Scripting and Automation: Familiarity with scripting languages (e.g., Python, Shell scripting) for automation tasks.
7. Version Control: Proficiency with version control systems (e.g., Git).
Qualifications:
1. Education: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
2. Experience: Several years of experience working as a kdb+/q developer or in a similar role.
3. Communication Skills: Good verbal and written communication skills, ability to work in a team environment.
4. Analytical Thinking: Strong analytical and problem-solving skills.
5. Attention to Detail: Ability to pay attention to details while maintaining focus on the overall goals.
Additional Preferred Skills:
• Knowledge of financial markets or trading systems (often preferred in finance-related roles).
• Experience with real-time data processing and streaming technologies.
• Familiarity with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
Working Conditions:
• Typically office-based, may involve some remote work opportunities.
• Fast-paced environment, particularly in financial sectors where real-time data processing is crucial.
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