VDart

www.vdart.com

8 Jobs

2,185 Employees

About the Company

VDart - We are a global, emerging technology staffing solutions provider with expertise in SMAC (Social, Mobile, Analytics & Cloud), Enterprise Resource Planning (Oracle Applications, SAP), Business Intelligence (Hyperion), and Infrastructure services. We work with leading System Integrators in, the private and public sectors. We have deep industry expertise and focus in BFSI, Manufacturing, Energy & Utility, Healthcare and Technology sector. Our scope, knowledge, industry expertise, and global footprint have enabled us to provide best in the industry solutions. With our Core focus in emerging technologies, we have provided global technology workforce solutions in USA, Canada, Mexico, Brazil, UK, Australia & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide.

Listed Jobs

Company Name: VDart
Job Title: Data Engineer
Job Description: **Job title:** Data Engineer **Role Summary:** Design, build and maintain scalable data ingestion, transformation, and enrichment pipelines on Azure and Snowflake platforms. Translate data mapping documents into technical specifications, develop ETL processes, and support modernization initiatives. **Expectations:** Deliver reliable, high‑performance ETL solutions, meet project milestones, write maintainable code, perform unit and integration testing, and document workflows. Collaborate with cross‑functional teams, provide knowledge transfer, and support legacy system transitions. **Key Responsibilities:** - Analyze data mapping specifications and produce technical design documents for data models, flows, and ETL processes. - Develop SQL queries, Azure Data Factory (ADF), Azure Synapse, Spark, and Databricks workflows for data ingestion, enrichment, and transformation. - Build, test, and deploy ETL pipelines using SnowPipe, DBT, SnowSQL, and stored procedures. - Modernize, migrate, and refactor legacy ETL scripts for cloud‑native architectures. - Package, sequence, and validate ETL code and artifacts. - Design ingestion pipelines that read from APIs and other external sources. - Integrate Braze data streams into data lakes, develop ingestion pipelines, and perform unit testing. - Transfer knowledge to team members and stakeholders, ensuring smooth handover of responsibilities. **Required Skills:** - Proficiency in Azure Data Factory, Azure Synapse Analytics, Databricks, and Spark. - Strong SQL development experience on Snowflake and Azure SQL. - Hands‑on DBT, SnowPipe, and SnowSQL pipeline development. - Experience with API‑based data ingestion and ETL orchestration. - Familiarity with Azure Cloud services, containerization, and CI/CD pipelines for data workloads. - Ability to write clean, documented, and testable code. - Excellent problem‑solving and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or related engineering field. - Professional certifications such as Microsoft Certified: Azure Data Engineer Associate or Snowflake SQL Developer are preferred.

Brampton, Canada

On site

29-12-2025

Company Name: VDart
Job Title: RPA Lead Developer
Job Description: **Job Title:** RPA Lead Developer **Role Summary:** Lead the design, development, and deployment of UiPath RPA solutions, translating business requirements into scalable automation workflows. Provide technical leadership, mentor team members, and manage existing use cases, especially for SAP systems. Collaborate with stakeholders, IT, and clients to ensure alignment and successful delivery. **Expectations:** - 5+ years of RPA development experience with UiPath. - Proven ability to lead multi‑region teams, manage SDLC, CI/CD, Agile sprints, and client interactions. - Strong troubleshooting, communication, and stakeholder management skills. **Key Responsibilities:** - Design, develop, test, and deploy UiPath RPA workflows for SAP and other platforms. - Convert business requirements into technical RPA use cases and maintain documentation. - Lead and mentor a development team; provide best‑practice guidance. - Manage existing UiPath use cases, troubleshooting, and enhancements. - Coordinate with IT for infrastructure, deployment, and Orchestrator management. - Participate in SDLC activities: requirement analysis, unit/integration testing, CI/CD pipelines. - Monitor service level agreements, proactive performance, and incident resolution. - Serve as client‑facing lead, ensuring clear communication and delivery success. **Required Skills:** - UiPath Studio, Orchestrator, Robot configuration. - Programming: C#, VB.NET, SQL; Web technologies: HTML, CSS, JavaScript. - SAP automation experience with UiPath. - Team leadership, project management, and Agile/Scrum experience. - SDLC, CI/CD, unit and integration testing. - Strong problem‑solving, troubleshooting, and client‑facing communication. - UiPath Admin experience (installation, configuration, Orchestrator management) is a plus. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, or related field. - UiPath Advanced RPA Developer certification (or equivalent).

Company Name: VDart
Job Title: AI Engineer
Job Description: Job title: AI Engineer Role Summary: Design, develop, and deploy enterprise‑grade AI agents and Retrieval‑Augmented Generation (RAG) solutions on Microsoft Azure, integrating them into full‑stack .NET and React/Angular web applications. Expactations: - Deliver scalable, secure AI services that meet enterprise performance and compliance standards. - Collaborate with cross‑functional teams (product, engineering, security) to translate business requirements into technical solutions. - Continuously improve AI model pipelines, monitoring, and deployment practices. Key Responsibilities: - Build and deploy AI agents using Microsoft Copilot Studio and Azure AI Foundry. - Design and implement end‑to‑end RAG pipelines with Azure OpenAI, Azure Cognitive Search, embeddings, and prompt engineering. - Integrate AI components into production .NET back‑ends and React/Angular front‑ends. - Ensure solutions are secure, scalable, and production‑grade on Azure infrastructure. - Troubleshoot and optimize AI model performance and operational stability. Required Skills: - Deep experience with Azure services (AI, Cognitive Search, Azure DevOps, Azure Functions, etc.). - Full‑stack development with .NET (C#) and either React or Angular. - Proficiency in Azure OpenAI Service, LLMs, embeddings, prompt engineering, and RAG pipelines. - Hands‑on experience developing AI agents via Copilot Studio or Azure AI Foundry. - Strong coding practices, version control (Git), CI/CD, and testing. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related technical field (or equivalent practical experience). - Azure certifications (e.g., Azure AI Engineer Associate) preferred but not mandatory.

Washington, United states

Remote

21-01-2026

Company Name: VDart
Job Title: Technical Architect with GenAI
Job Description: **Job Title:** Technical Architect – Generative AI (GenAI) **Role Summary:** Lead the architectural design and implementation of enterprise modernization projects, integrating Generative AI solutions with legacy Java systems. Drive end‑to‑end delivery of scalable, cloud‑native applications, leveraging LLM frameworks, RAG pipelines, and agentic architectures while championing DevOps best practices. **Expectations:** - 10+ years of professional software development experience, with at least 5 years in a senior or architect role. - Proven track record modernizing legacy Java applications and delivering cloud‑based solutions. - Hands‑on expertise in Python and Generative AI technologies. - Ability to mentor and influence cross‑functional engineering teams. - Strong communication skills to align technical strategy with business objectives. **Key Responsibilities:** - Architect and lead migration of legacy Java systems to modern, AI‑enhanced platforms. - Design, develop, and deploy LLM‑powered services using LangChain, Semantic Kernel, Hugging Face, OpenAI API, etc. - Build and optimize Retrieval‑Augmented Generation (RAG) pipelines for enterprise use cases. - Apply prompt engineering and model‑tuning techniques to improve AI performance. - Create agentic solutions with AutoGen, CrewAI, or custom frameworks. - Implement DevOps pipelines (CI/CD, containerization, IaC) and ensure automated testing and monitoring. - Deploy and manage solutions on AWS, Azure, or GCP with security and scalability in mind. - Leverage productivity tools such as GitHub Copilot, ChatGPT, and Gemini to accelerate development. - Collaborate with product, data, and business teams to define GenAI strategy and roadmap. - Provide technical mentorship and establish coding and architectural standards for AI adoption. **Required Skills:** - Advanced Java (Spring, microservices) and Python development. - Experience with LLM frameworks: LangChain, Semantic Kernel, Hugging Face, OpenAI API. - Proficiency in building RAG pipelines and prompt engineering. - Knowledge of agentic AI architectures (AutoGen, CrewAI). - Strong DevOps background: CI/CD (Jenkins, GitHub Actions), Docker/Kubernetes, Terraform or similar IaC tools. - Cloud platforms: AWS, Azure, GCP (compute, storage, networking, security). - Familiarity with AI productivity tools (GitHub Copilot, ChatGPT, Gemini). - Architectural design patterns, performance tuning, and security best practices. - Excellent problem‑solving, leadership, and communication abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred). - Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, Google Cloud Professional Architect) are a plus. - Certifications in AI/ML or related technologies (e.g., TensorFlow, PyTorch) are advantageous.

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