Kinetica Consultant - Full Time

Saransh Inc; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Saransh Inc is seeking a Kinetica Consultant to join onsite teams in Tampa, FL or Irving, TX. Lead the design, development, and optimization of high-performance data models within the Kinetica database to support real-time analytics and forecasting.

You will collaborate with data scientists, analysts, and developers in an Agile environment, deploying robust data ingestion, validation, and processing pipelines while driving architectural improvements and best practices.

Qualifications

• Must have hands-on experience with Kinetica Database.
• Strong Python and SQL skills for data modeling and pipeline design.
• Experience with REST APIs and real-time analytics required.

Responsibilities

• Design, develop, and maintain scalable data models within Kinetica.
• Optimize Kinetica queries and data structures for low-latency analytics.
• Develop custom Python UDFs and leverage Kinetica APIs.

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

Job description

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