Offer summary

Qualifications:

Expertise in GIS data modeling and data warehousing., Experience with linear referencing systems and methods., Familiarity with artificial intelligence, machine learning, and deep learning., Knowledge of scripting and coding for ETL processes is desirable..

Key responsabilities:

Design and implement GIS data models for geospatial data.

Manage data warehousing and ETL processes using various tools.

Utilize AI and machine learning techniques to enhance data analysis.

Collaborate with cross-functional teams to ensure data integrity and accessibility.

Navitas Partners LLC is a diversity led business, headquartered in NJ, as a dynamic IT professional services and workforce solutions company. We believe creating the best solutions in human resource services means always going above and beyond - and people are our most important asset. Our “DNA” invokes core values of knowing, trusting and serving our relationships. The better we know our clients and candidates, the better our relationship, and the better we match the needs and exceed expectations. We want our client’s experience with us to reflect a transparent, professional and driven relationship. At Navitas Partners we strive for Excellence in People, and grow with you to become a true extension of your HR specific business requirements, while remaining sensitive to your price & business needs. Certified Diversity Employer: SBE • WOSB • WBE • MBE • NMSDC NAICS: 541511, 541512, 541513, 541519, 54164, 518210, 811212, 561320 https://form.jotform.com/223145471243247

Job description

Title: GIS Data Architect/Analyst
Location: Remote, Louisiana
Duration: 3+ Years

Job Description:

Expertise and/or relevant experience in the following areas are mandatory:
GIS data modeling
o For Geospatial
Data Warehousing 12
o Linear Referencing Systems
Linear Referencing Methods
o Artificial Intelligence tools
Machine Learning
Deep Learning
o Large Language Models
Generative Pre-training Transformer

Expertise and/or relevant experience in the following areas are desirable but not mandatory:
• Feature Manipulation Engine (FME)
o Readers and Writers for Extracting, Transforming and Loading (ETL) of data
 Cross platform data formats
• Scripting and Coding for ETL processes

Required profile