Senior Infrastructure Engineer - Kinetica Database Developer

# Senior Infrastructure Engineer - Kinetica Database Developer Irving, Tampa Apply for this job
* Permanent* Experienced Professionals
* Cloud Infrastructure Management
* -en _USChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.##

** Location
* * This is an onsite role based in Tampa, FL ;
Irving, TX in the US and Mississauga, Canada.##
** Your Role
*** Architect, design, and implement robust, scalable, and high-performance database solutions using Kinetica.
* Develop and maintain complex SQL queries, and User-Defined Functions (UDFs) to support application 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.
* Serve as the subject matter expert on Kinetica's native features, including geospatial analysis, graph analytics (GSQL), and time-series functions. Drive the adoption and implementation of these features to solve complex business problems.
* Design and manage data models and schemas. Implement and oversee efficient data ingestion pipelines into the Kinetica database.
* Work closely with data scientists, application developers, and business analysts to understand their data needs and provide effective database solutions.##
** Your Skills and Experience
**
* Experience:

8+ years of experience in database development, with at least 3-5 years of hands-on experience with Kinetica DB.
* In-depth knowledge of Kinetica's in-memory, GPU-accelerated architecture.
* Proven expertise in performance tuning and optimization within the Kinetica environment.
* Extensive experience with Kinetica's native features, including:
* User-Defined Functions (UDFs) in Python.
* Time-series data handling.
* Proficiency in Kinetica administration, monitoring, and security management.
* Database Proficiency:
* Expert-level SQL skills.

The base compensation range for this role in the posted location is: **$70,176- $170,040
** Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation  addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
** Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
** In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
* Paid time off based on…