Graph-Based Data Engineer
About us:
Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:
Modernization & Migration
• Application & Database Modernization
• Platform Engineering (IaC/EaC, DevSecOps & SRE)
• Cloud Native Engineering, Migration to Cloud, VMware Exit
• FinOps
Data & AI/ML
• Data (Cloud Native / DataBricks / Snowflake)
• Machine Learning, AI/GenAI
Cybersecurity
• Infrastructure Security
• Application Security
• Data Security
• AI/Model Security
SDx & Digital Workspace (M365, G-suite)
• SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility
• Email, Collaboration, Directory Services, Shared Files Services
Intuitive Services:
• Professional and Advisory Services
• Elastic Engineering Services
• Managed Services
• Talent Acquisition & Platform Resell Services
About the job:
Title: Graph-Based Data Engineer
Position Type: Contract
Location: Remote across USA or Canada
Job Description:
A Knowledge Management Engineer focuses on designing, implementing, and maintaining systems and processes that enable organizations to effectively capture, organize, share, and utilize knowledge. Ability to design and implement information architectures, taxonomies, and ontologies. Here's a breakdown of key responsibilities and skills:
Key Responsibilities:
• Knowledge Management Systems Implementation and Maintenance:
• Evaluate, select, and implement knowledge management software and tools.
• Configure and customize knowledge management systems to meet organizational needs.
• Maintain and troubleshoot knowledge management systems, ensuring optimal performance and availability.
• Integrate knowledge management systems with other enterprise systems.
Knowledge Analysis and Improvement:
• Analyze knowledge usage patterns and identify areas for improvement.
• Develop metrics and dashboards to track knowledge management effectiveness.
• Conduct knowledge audits and assessments to identify knowledge gaps and opportunities.
• Implement continuous improvement initiatives to enhance knowledge management processes.
Data and Information Management:
• Work with data architects and engineers to ensure data quality and consistency.
• Develop data models and schemas to support knowledge management initiatives.
• Implement data security and access control measures.
Essential Skills:
• Knowledge Management Principles: Understanding of knowledge capture, organization, sharing, and retrieval.
• Information Architecture: Ability to design and implement information architectures, taxonomies, and ontologies.
• Data Management: Proficiency in data modeling, database management, and data analysis.
• Technology Proficiency: Experience with knowledge management software, collaboration tools, and content management systems.
• Technical Skills: Understanding of relevant technologies, like API usage, and basic scripting.
Details
• Seeking a Knowledge Management Engineer to implement, maintain, and optimize knowledge management systems for seamless information sharing and accessibility.
• Leverage ETL, graph-based architecture, and cube-based data models for knowledge processing
• Strong understanding of Knowledge Management principles (capture, organization, sharing, and retrieval).
• Exposure to machine learning applications in knowledge management.
• Exposure to cloud-based knowledge management solutions (e.g., SharePoint, Confluence, ServiceNow KM).
• Knowledge of graph databases, semantic search, and data visualization tools.
• Familiarity with API integrations, basic scripting, and automation technologies.
• Hands-on experience in SQL scripting and python programming.
• Strong problem-solving skills with the ability to optimize knowledge workflows and system efficiency.
• Proficiency in data modeling, database management, and data analysis.
• Experience with information architecture, taxonomy, and ontology design.
• Strong problem-solving skills with the ability to optimize knowledge workflows and system performance.
About us:
Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:
Modernization & Migration
• Application & Database Modernization
• Platform Engineering (IaC/EaC, DevSecOps & SRE)
• Cloud Native Engineering, Migration to Cloud, VMware Exit
• FinOps
Data & AI/ML
• Data (Cloud Native / DataBricks / Snowflake)
• Machine Learning, AI/GenAI
Cybersecurity
• Infrastructure Security
• Application Security
• Data Security
• AI/Model Security
SDx & Digital Workspace (M365, G-suite)
• SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility
• Email, Collaboration, Directory Services, Shared Files Services
Intuitive Services:
• Professional and Advisory Services
• Elastic Engineering Services
• Managed Services
• Talent Acquisition & Platform Resell Services
About the job:
Title: Graph-Based Data Engineer
Position Type: Contract
Location: Remote across USA or Canada
Job Description:
A Knowledge Management Engineer focuses on designing, implementing, and maintaining systems and processes that enable organizations to effectively capture, organize, share, and utilize knowledge. Ability to design and implement information architectures, taxonomies, and ontologies. Here's a breakdown of key responsibilities and skills:
Key Responsibilities:
• Knowledge Management Systems Implementation and Maintenance:
• Evaluate, select, and implement knowledge management software and tools.
• Configure and customize knowledge management systems to meet organizational needs.
• Maintain and troubleshoot knowledge management systems, ensuring optimal performance and availability.
• Integrate knowledge management systems with other enterprise systems.
Knowledge Analysis and Improvement:
• Analyze knowledge usage patterns and identify areas for improvement.
• Develop metrics and dashboards to track knowledge management effectiveness.
• Conduct knowledge audits and assessments to identify knowledge gaps and opportunities.
• Implement continuous improvement initiatives to enhance knowledge management processes.
Data and Information Management:
• Work with data architects and engineers to ensure data quality and consistency.
• Develop data models and schemas to support knowledge management initiatives.
• Implement data security and access control measures.
Essential Skills:
• Knowledge Management Principles: Understanding of knowledge capture, organization, sharing, and retrieval.
• Information Architecture: Ability to design and implement information architectures, taxonomies, and ontologies.
• Data Management: Proficiency in data modeling, database management, and data analysis.
• Technology Proficiency: Experience with knowledge management software, collaboration tools, and content management systems.
• Technical Skills: Understanding of relevant technologies, like API usage, and basic scripting.
Details
• Seeking a Knowledge Management Engineer to implement, maintain, and optimize knowledge management systems for seamless information sharing and accessibility.
• Leverage ETL, graph-based architecture, and cube-based data models for knowledge processing
• Strong understanding of Knowledge Management principles (capture, organization, sharing, and retrieval).
• Exposure to machine learning applications in knowledge management.
• Exposure to cloud-based knowledge management solutions (e.g., SharePoint, Confluence, ServiceNow KM).
• Knowledge of graph databases, semantic search, and data visualization tools.
• Familiarity with API integrations, basic scripting, and automation technologies.
• Hands-on experience in SQL scripting and python programming.
• Strong problem-solving skills with the ability to optimize knowledge workflows and system efficiency.
• Proficiency in data modeling, database management, and data analysis.
• Experience with information architecture, taxonomy, and ontology design.
• Strong problem-solving skills with the ability to optimize knowledge workflows and system performance.
