Kinetica Consultant - Full Time

Position: Kinetica Consultant 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. Note 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 Key Responsibilities 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. Preferred Background 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 #J-18808-Ljbffr Saransh Inc