OmegaHires

Consultant

• Handle end-to-end NetSuite configurations, customizations, and system setup
• Collaborate with global teams for requirement gathering and solution design
• Optimize NetSuite configurations and integrations

Netsuite Consultant

Sales

• Engage clients to gather business, functional, and technical requirements
• Analyze current systems and identify gaps
• Recommend best-fit solutions across: o M3 → Process manufacturing, distribution o LN → Complex/discrete manufacturing o CSI (SyteLine) → SMB manufacturing o XA → Legacy IBM i manufacturing clients o Edge → AI-driven insights and automation
• Deliver tailored, industry-specific demos
• Build compelling business scenarios (order-to-cash, procure-to-pay, plan-to-produce)
• Highlight integrations across the Infor ecosystem
• Lead responses for RFPs / RFIs / RFQs
• Prepare: o Solution architecture diagrams o Scope and effort estimations o Bill of materials (BOM) and licensing inputs
• Collaborate with sales for pricing and positioning
• Demonstrate deep understanding of: o ERP modules: Finance, SCM, Manufacturing, Procurement o Infor technology stack:  Infor OS  Infor ION  Infor Birst
• Explain: o Cloud vs on-prem deployments o Integration architecture o Data migration strategies
• Support industries such as: o Industrial Manufacturing o Automotive & Aerospace o Food & Beverage o Distribution & Logistics
• Position appropriate product based on complexity and scale
• Support account executives throughout the sales lifecycle
• Conduct: o Workshops o Discovery sessions o Executive briefings
• Act as a trusted advisor to business and IT stakeholders
• Position Infor against: o SAP o Oracle
• Emphasize: o Industry-specific CloudSuites o Modern UX and AI capabilities (via Edge) o Faster time-to-value

Senior Solution Consultant

Software Engineer

• Install, configure, and maintain database server software, apply patches of PostgreSQL databases
• Create high availability cluster and a Disaster Solution plan
• Monitor database performance to identify slowdowns or potential issues
• Create database objects such as tables, views, triggers, and indexes
• Perform regular database backups to ensure data integrity in case of a server crash
• Perform regular scheduled maintenance on the database server, such as vacuum analysis on large tables to remove obsolete data

PostgreSQL Developer

Backend Engineer

• Design and implement backend services in Java (Spring Boot or similar)
• Build responsive UIs using React, Angular, or comparable frameworks
• Develop RESTful APIs and integrate with databases and messaging systems
• Participate in architecture discussions, code reviews, and automated testing
• Deploy and support applications in cloud environments (AWS or Azure)
• Partner with BA/QA on requirements, acceptance criteria, and defect resolution

Java, Full Stack Software Developer

Data Engineer

• Design, build, and operate ETL/ELT pipelines from operational and SaaS sources
• Develop batch and streaming workflows using Python, SQL, and cloud data services
• Model data in a warehouse/lakehouse (e.g. Snowflake, Databricks, or BigQuery)
• Implement data quality checks, monitoring, and incident response for pipelines
• Collaborate with analysts and data scientists on curated marts and metrics
• Document pipelines, schemas, and SLAs; support CI/CD for data code
• Optimize performance, cost, and security (IAM, encryption, PII handling)

Machine Learning Engineer

• Develop and deploy ML and GenAI capabilities into production applications
• Build and improve ML models and LLM-powered features (RAG, agents, or classification/NLP as needed)
• Prepare training and evaluation datasets; implement reproducible experiments
• Integrate models into applications via APIs, batch jobs, or real-time services
• Implement monitoring for drift, latency, cost, and quality; iterate from feedback
• Collaborate with product, data engineering, and security on responsible AI practices
• Document architectures, prompts, evaluation metrics, and runbooks
• Support CI/CD and containerized deployment of ML services

AI – Machine Learning Engineer

• Develop and maintain applications using C#, .NET Core / .NET 6+, and RESTful APIs
• Build and consume web services; integrate with SQL databases and third-party systems
• Write unit tests and support code reviews, CI/CD pipelines, and release activities
• Troubleshoot production issues and implement performance and reliability improvements
• Participate in sprint planning, standups, and technical design discussions
• Document technical designs and deployment steps for maintainability

.NET Software Developer

Product Marketing

• Manage Project account with techno-functional expertise on OTM Application
• Day to Day interaction with Client and Stakeholders for project deliveries
• Configure OTM modules & design business requirements
• Manage OTM & GTM Quarterly Upgrade
• Gather Customer Requirement, Understand Supply Chain Business, Create functional specifications
• Drive Weekly, Monthly, Quarterly, Yearly Status Report calls with stakeholders
• Co-ordinate with Stakeholders and internal team members on administrative processes.

OTM & GTM Consultant

• Manage Project account with techno-functional expertise on GTM Application
• Day to Day interaction with Client and Stakeholders for project deliveries, updates, and new Change Requests
• Configure GTM modules
• Manage GTM Quarterly Upgrade with new feature implementations
• Integration with other modules like EBS, JDE, Fusion, SAP using integration layer Like OIC/Boomi/Mule soft/SOA etc.
• Responsible to gather Customer Requirement, Understand Supply Chain Business, create functional specifications, provide logic to technical team, prepare test data, conduct internal testing and user acceptance testing, go-live and support and related documentations
• Co-ordinate with Stakeholders and internal team members on administrative processes
• Developing standards and processes

GTM Architect

• Developing and maintaining software using Java and enterprise system APIs
• Actively participating in all stages of the implementation project from development through testing
• Developing relationships with clients and supporting them during the project lifecycle
• Collaborating with teammates to maximize project efficiency
• Documenting methods and lessons learned