What are the responsibilities and job description for the Kinetica Consultant - Full Time position at Saransh Inc?
Position: Kinetica Consultant
Location: Tampa, FL (or) Irving, TX (Onsite)
Job Type: Full Time
Job Description
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
Candidates from the following domains are often a strong fit:
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