Project Manager/ Cutlist

Company Description

VDart is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.

Role Description

We are looking for a seasoned data leader to design, build, and own enterprise-scale data platforms on Azure. This role goes beyond development — it requires end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness.

You will act as the critical link between business stakeholders, data engineering teams, and analytics functions, ensuring scalable and high-performance data solutions are delivered and maintained.

Key Responsibilities:

• Design and implement robust data pipelines using Azure Data Factory (ADF), including integration with REST APIs and external data sources
• Build scalable data transformation workflows using Databricks (PySpark), handling complex and nested JSON datasets
• Architect and implement Delta Lake-based data platforms, including fact and dimension models (star schema)
• Define and enforce best practices for data modeling, performance optimization, and cost efficiency
• Own end-to-end data platform lifecycle — from architecture and deployment to monitoring and operational support
• Establish production readiness frameworks, including logging, alerting, and data quality checks
• Collaborate closely with business and analytics teams to translate requirements into scalable technical solutions
• Mentor engineering teams and drive architectural governance across projects 

Required Experience & Skills:

•                Experience building pipelines with Azure Data Factory 

•                Experience connecting to REST API sources using Azure Data Factory 

•                Experience building transformations with Databricks using PySpark 

•                Experience handling complex nested JSON files using PySpark 

•                Experience designing dimensional models/star schema 

•                Experience implementing facts and dimension tables in Databricks Delta Lake 

•                Around 15-20 years of solid experience in building, managing, and optimizing enterprise data platforms with at least 5 years in Azure cloud data services

•                Act as a bridge between business, data engineering, and analytics teams to ensure requirements are clearly understood and implemented correctly

•                Own end-to-end production readiness of the data platform, including architectural design, deployment patterns, monitoring strategy and operational support.

What you’ll do

• Build and ship features end-to-end using the MERN stack
• Use AI tools to speed up development, solve bugs, and learn new patterns
• Collaborate with product and design to turn ideas into UI + backend logic
• Write clean, reusable code with proper structure and Git practices
• Learn best practices in architecture, API design, and performance
• Take feedback, grow fast, and own your work

Must-Haves:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 2-3 years of experience with the MERN stack
• Good understanding of JavaScript (or TypeScript), REST APIs, and MongoDB
• Clear logic, curiosity, and the ability to Google smartly
• Eagerness to learn, experiment, and grow with the team
• Comfortable using AI tools to assist in dev

Nice-to-Have:

• Exposure to tools like Firebase, Next.js, or Vercel
• Any live projects, GitHub repos, or portfolio sites
• Basic understanding of cloud deployment 

Role of full stack engineer consultant 

- receive the knowledge transfer 

- maintenance of technology 

- integrate the technology in client's platform

Job Details: 

• Three plus years of experience in IT systems analysis and application program development
• Experience in an Object Oriented Programming language such as Java is a must
• The candidate must be a hands-on coder doing active development
• Extensive experience programming in Java Application Development & RESTful API
• Experience in AWS Cloud technologies is optional but good to have
• Proficient in Object-Oriented Programming (OOP) concepts, workflows, and design patterns

Job Description :

• Promote/Sell various IT trainings/certifications to the working professionals/students.  
• Intensely following up with the prospects clients/students and closing the sales within the sales cycle.
• Generate new leads, create sales pipeline and following with the closure.
• Obtaining client information & Counsel Professional for trainings/certifications.
• Reaching out professionals/clients by making outbound calls, emails and if also face to face meetings/counseling if required.
• Selling & Advertising Different Training Courses in the different geographies like India, U.S, Canada, Singapore, Malaysia, Middle East and few European boundaries
• Negotiating and closing the deals.
• Diligently communicating, aggressive follow up and priming the lead through different channels.

Required Skills:

• Exceptional communicator and influencer who can deliver sales pitch like a charm.
• Result-driven with experience of extremely target centric job.
• Confident and persevering risk-taker who thrives in a high-performance high-growth environment.
• Self-learners with extensive grasping ability so that learners can absorb the product related trainings within no time.

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
• Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
• Career Progression: Senior Full Stack Engineer, Technical Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Angular/React, Strong UI/UX skills
• Very strong python background, TDD, CI/CD,
• Software design skills i.e., OOPs, design patterns
• SQL, NoSQL – design of schemas and databases
• Microservices architecture, Cloud native apps

Good to Have

• Enterprise Design Patterns
• Distributed Systems
• Exposure to ML and Data Science
• Docker, Kubernetes, AKS, Kafka, Graph databases