Survey Analytics Analyst

Company Description:

VDart Digital 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

• Design, build, and own enterprise-scale data platforms on Azure
• Take end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness
• Act as a bridge between business stakeholders, data engineering, and analytics teams to deliver scalable, high-performance solutions

Key Responsibilities

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

Required Experience & Skills

• Experience building pipelines using Azure Data Factory
• Experience integrating REST APIs using Azure Data Factory
• Experience building transformations using Databricks (PySpark)
• Experience handling complex and nested JSON datasets using PySpark
• Experience designing dimensional models (star schema)
• Experience implementing fact and dimension tables in Databricks Delta Lake
• 15–20 years of experience in enterprise data platforms, with at least 5 years in Azure data services
• Ability to bridge business, data engineering, and analytics teams
• Experience owning end-to-end production readiness including architecture, deployment, monitoring, and support

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Candidate must have Project management experience.

Candidate must have strong experience in accounting principles, financial workflows, and R2R (Record to Report) processes.

Candidate should have an academic background in Commerce or MBA Finance.

Candidates must be from a Fintech/ Financial services only.

Good experience with SQL and must have MIS experience.

Must have experienece in Treasury Module.

3+ years of implementation experience is required.

Candidate should have Hands-on experience with tools such as Jira, Confluence, Excel, and project management platforms.

Need candidate from Bangalore and Delhi/NCR ONLY.

Need Immediate joiner or candidate with upto 30 Days Notice period.

Job Description

We are seeking a talented and experienced Java SpringBoot Microservices Developer

to join our dynamic development team. As a Java SpringBoot Microservices Developer,

you will be responsible for designing, developing, and maintaining scalable and

high-performance microservices-based applications using Java and SpringBoot

frameworks.

Responsibilities:

● Collaborate with cross-functional teams to gather and analyze requirements for

the development of microservices applications.

● Design, develop, and implement robust and scalable microservices using Java

and SpringBoot.

● Build RESTful APIs and integrate them with external systems as required.

● Ensure the performance, security, and reliability of the microservices through

thorough testing and debugging.

● Participate in code reviews to ensure code quality, maintainability, and adherence

to coding standards.

● Troubleshoot and resolve technical issues related to microservices and their

integration with other components

● Continuously research and evaluate emerging technologies and industry trends

related to microservices and recommend improvements to enhance application

development.

Requirements:

● Bachelor's degree in Computer Science, Software Engineering, or a related field.

● Strong experience in Java development, specifically with SpringBoot framework.

● Proficiency in designing and developing microservices architectures and

implementing them using industry best practices.

● Solid understanding of RESTful API design principles and experience in building

and consuming APIs.

● Knowledge of cloud platforms and experience with containerization technologies

(e.g., Docker, Kubernetes) is highly desirable.

● Familiarity with agile development methodologies and tools (e.g., Scrum, JIRA) is

a plus.

● Excellent problem-solving and analytical skills with a keen attention to detail.

● Effective communication and collaboration skills to work effectively within a team

environment.

If you are a passionate Java developer with a strong focus on building scalable

microservices applications using SpringBoot, we would love to hear from you. Join our

team and contribute to the development of cutting-edge solutions that deliver

exceptional user experiences.

To apply, please submit your resume and a cover letter outlining your relevant

experience and achievements in Java SpringBoot microservices development.

Job Description: Enterprise Account Executive – B2B (EdTech Industry)

Position Title: Enterprise Account Executive – B2B

Location: Bangalore (Onsite)

Working Days: 5 Days a Week

Industry: EdTech & SAAS Preferred (B2B Enterprise Sales)

Experience Required: 2–8 Years

Target Market Exposure: Africa / UAE / KSA / Saudi Arabia/Europe

Product: Product Portfolio (Certification & Corporate Programs)

About the Role

We are looking for a highly driven and target-oriented Enterprise Account Executive

from the EdTech industry with strong expertise in B2B enterprise sales. The ideal

candidate must have proven experience in lead generation using AI tools, CXO-

level engagement, objection handling, and final commercial deal closure.

This role requires someone who can independently manage the full sales cycle—

from prospecting to final contract sign-off—and consistently close enterprise deals

every quarter.

Key Responsibilities

Own and manage the complete enterprise sales cycle (Lead → Demo → Proposal →

Negotiation → Closure).

Generate high-quality enterprise leads using AI-based lead generation tools

(LinkedIn Sales Navigator, Apollo, ZoomInfo, AI prospecting tools, etc.).

Engage and build relationships with CXO-level stakeholders (CHRO, CLO, L&D

Heads, HR Tech Leaders). Conduct consultative selling aligned with client HR &Learning transformation goals. Expertly handle enterprise-level objections and

commercial negotiations. Drive final commercial closure, including pricing

discussions, contracts, and payment terms. Achieve and exceed quarterly revenue. targets consistently. Develop strategic expansion plans within key regions: Africa, UAE, KSA, Saudi markets.

Collaborate with internal teams (Pr-sales, Product, Marketing, Customer Success).

Maintain accurate pipeline forecasting and reporting in CRM.

Required Skills & Expertise

Strong experience in B2B Enterprise Sales (EdTech mandatory).

Demonstrated success in closing large-ticket enterprise deals.

Expertise in: AI-powered lead generation tools

Advanced objection handling techniques

Commercial negotiation & final closure

CXO-level relationship management

Deep understanding of HR Tech / Learning & Development ecosystem.

Strong exposure to international markets (Africa / UAE / KSA preferred).

Target-oriented with consistent quarterly deal closures.

Strong presentation, communication, and strategic selling skills

Experience in approaching: CEO (in SMEs)

CHRO / HR Director

Head of L&D

COO

Business Unit Heads:

Government Training Heads (if applicable)

Key Competencies

Hunter mindset with strategic thinking

High ownership & accountability

Commercial acumen

Data-driven sales approach

Strong negotiation & persuasion skills

Ability to close complex, multi-stakeholder deals

Performance Expectations

Close enterprise deals successfully every quarter.

Maintain strong pipeline health (3X–4X of target).

Build strategic accounts and long-term client partnerships.

Contribute to revenue growth in international markets.

Why Join Us?

Opportunity to work in a fast-growing EdTech environment

Exposure to global enterprise markets

Performance-driven growth and incentive structure

Leadership visibility and CXO-level engagement & Promotions, and IJP

Incentives Quarterly: 1 LPA to 3 LPA As per Closure

• 4+ years of experience
• Excellent technical skill on Salesforce or similar applications which include building customized applications using JAVA, MIcroservices, Apex classes and Triggers, Visualforce Pages, Apex Jobs, Lightning Component, Integration, Process Builder or configure components/Flexi pages to implement expected functionality.
• Worked with different tools like Copado, Data loader, Jira, VS Code, Eclipse, SonarQube, etc.
• Able to Manage deployment activities, code review, and deployment using data loader
• Implementation of Entitlement and Milestones, platform events, visual flows, etc.
• Implement web services using REST API/SOAP API.
• Inbound / Outbound Integration.
• Involvement in Solution designing and Estimations.
• Create Email Templates, Page Layouts, Record Types, Custom Fields, Lightning Record Pages, etc.
• Performed pre-deployment and post-deployment activities.
• Experience in Workflows, custom metadata
• Implementing DevOps in Enterprise application
• For Support Developer – Problem-solving mindset

Good to have –

• BFSI industry experience
• Agile project management experience

Exp. Level: 2-4 Years

Job Location: Nagpur.

Experience of using .NET framework.

- Minimum 1 Experience on Angular 2+ .

- Web Development experience in HTML5, ASP.NET, C#, CSS3, JavaScript, jQuery, Bootstrap, Material Design

- Experience in MVC/Web API/.NET Core.

- Knowledge in MS SQL-writing Store Proc, Views, Entity framework, Code/Database first approach and OOPS concept.

- Experience on ORM (EF, Dapper, Ado.net)

- Familiar with development tools such as GIT, Subversion,TFS,GIT LAB,Altassian etc.

- Agile/Scrum development on complex applications/products across distributed teams. Use of JIRA/ Ace/ Trello (or similar tools) is essential.

- Good analytical and communicational skills Microsoft Technologies