Description

You will design and maintain scalable data models in Kinetica to support analytical and forecasting requirements.

This role is on-site.

Responsibilities

• Perform advanced performance tuning and optimization of Kinetica queries and data structures for real-time processing.
• Develop custom Python User-Defined Functions (UDFs) and utilize native Kinetica APIs to implement business logic and data pipelines.
• Design and implement robust data ingestion, validation, and integrity processes.
• Troubleshoot complex data-related issues and provide expert guidance on Kinetica best practices.

Required Skills

• 5+ years of experience with Python development.
• Deep expertise in Kinetica database architecture and operations.
• Strong proficiency in SQL and REST API integration.
• Proven experience in data modeling and ETL processes.
• Skilled in database optimization and performance tuning.

Preferred Skills

• Experience with real-time data processing and system optimization techniques.
• Ability to drive innovation in data architecture by evaluating new features.

Key Skills

Education

Any Graduate