Kinetica Consultant - Full Time

Location: Tampa, FL (or) Irving, TX (Onsite)

Job Type: Full Time

Job Description

• Kinetica, Python, sql, Rest API, Design, develop, and maintain highly efficient and scalable data models within the Kinetica database to support complex analytical and forecasting requirements.
• Perform advanced performance tuning and optimization of Kinetica queries and data structures to ensure real-time processing capabilities.
• Utilize native Kinetica APIs and develop custom Python User-Defined Functions (UDFs) to implement complex business logic and data processing pipelines.
• Work within an Agile team to collaborate with data scientists, analysts, and application developers to translate business needs into technical solutions.
• Drive innovation in our data architecture by evaluating and implementing new Kinetica features and industry best practices for performance improvement.
• Ensure data integrity and quality by designing and implementing robust data ingestion and validation processes.
• Troubleshoot and resolve complex data-related issues, providing expert guidance on Kinetica best practices.
• Demonstrate a strong ability to bring new ideas for performance improvement and system optimization to the team.

This is a highly specialized Kinetica Database Developer / Kinetica Data Engineer role focused on high-performance analytics, real-time processing, and database optimization.

Core (Must-Have) Skills

• Kinetica Database
• Python
• SQL
• REST APIs
• Data Modeling
• Query Optimization
• Performance Tuning
• Real-Time Analytics
• Data Engineering
• Data Ingestion Pipelines
• Python UDF Development
• Database Architecture
• Agile/Scrum

• Design, develop, and maintain scalable data models within Kinetica.
• Optimize Kinetica queries and data structures for low-latency, real-time analytics.
• Develop custom Python UDFs and leverage Kinetica native APIs.
• Build robust data ingestion, validation, and transformation pipelines.
• Collaborate with data scientists, analysts, and application teams.
• Troubleshoot complex performance and data-related issues.
• Evaluate new Kinetica capabilities and implement best practices.
• Drive database performance improvements and architectural enhancements.

Candidates from the following domains are often a strong fit:

• Capital Markets / Trading
• Financial Services
• Telecommunications
• IoT & Sensor Analytics
• Geospatial Analytics
• High-Volume Data Processing Environments
• Real-Time Decisioning Platforms