Vdart Software Services Pvt Ltd

Scrum Master

Bangalore (Marathahalli)

Key Responsibilities

• Lead digital transformation initiatives for global clients within the data engineering domain, aligning technical solutions with business objectives
• Act as a bridge between business and technical teams to gather, analyze, and translate requirements into user stories and acceptance criteria
• Own and manage product backlogs, ensuring continuous grooming and prioritization aligned with client goals
• Facilitate Agile/Scrum ceremonies including daily stand-ups, sprint planning, and retrospectives
• Collaborate with cross-functional teams (Data Engineering, QA, DevOps, and stakeholders) to ensure seamless delivery
• Drive Agile best practices and continuous improvement in processes, timelines, and product quality
• Track and report team performance metrics, sprint progress, and release planning

Required Qualifications

• 8+ years of experience in IT services with a mix of business analysis and Agile delivery roles
• Strong experience working with data engineering teams / data platforms
• Proven experience in delivering client-facing digital products and managing complex stakeholder environments
• Hands-on experience with Agile tools such as JIRA, Confluence, and backlog management platforms
• Strong analytical, communication, and facilitation skills with the ability to balance business and technical priorities

Role: Oracle ERP Support Service Delivery Manager

Location: Marathahalli, Bangalore

Job Description:

Required Skills & Qualifications

Ø Experience: Experience in Oracle ERP Support (Cloud/EBS) and IT Service Delivery Management.

Ø Technical Knowledge: Understanding of Oracle ERP modules (e.g., Financials, HCM, SCM).

Ø Leadership: Small to Medium (15-40) Team management and development skills

Ø Communication: Good client-facing, negotiation, and communication skills.

Key Responsibilities:

Ø Service Delivery Management: Manage end-to-end support operations, ensuring compliance with Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).

Ø Lead incidents, problems, and change management processes, including supporting patches and new releases. Develop service dashboards, monitor performance metrics, and ensure adherence to compliance and risk management.

Ø Identify opportunities for automation and process optimization within ERP operations.

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.

✔️ 8+ years of overall software development experience

✔️ 5+ years of relevant experience in Azure Integration using Logic Apps, Azure Functions, and .NET C#

✔️ Work closely with the Integration Architect. Understand and review requirement with Integration Architect for Biztalk/Foresight/Azure interface integrations.

✔️ Implement (Code in Azure Logic Apps, C#, Azure functions), modify integrations interface as per the interface specification.

✔️ Perform and document unit testing for implemented interfaces.

✔️ Assess and manage risk with leads and discuss possible recommendations.

✔️ Follow best practices, standards, and policies in implementation.

✔️ Perform code review sessions, and follow the coding guidelines.

✔️ Perform and support Integration & UAT testing; fix issues and defects.

Job Description:

We are hiring freshers for our International Chat Support Team to assist customers via chat, resolve queries, and provide exceptional service.

Requirements:

• Any Graduate (Freshers welcome).
• Excellent written English skills.
• Strong problem-solving ability.
• Basic computer knowledge.
• Willingness to work in rotational shifts.

Perks:

• Competitive salary + incentives.
• Career growth opportunities.
• Friendly work environment.

Job Descriptions:

1. Job Requirement

We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.

Responsibilities:

• Develop and deploy GenAI-based applications to solve complex business problems.
• Implement RAG frameworks to enhance information retrieval and response accuracy.
• Design and optimize document chunking strategies tailored to specific data types and use cases.
• Build and manage data embeddings using various vector databases for high-performance similarity searches.
• Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
• Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
• Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

2. Required Technical Skillsets

Mandatory Skills:

• Proficiency in Generative AI frameworks and technologies like
• Prompt Engineering – creating specific prompts to guide LLM outputs
• Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
• Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
• Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
• Expertise in designing and implementing chunking strategies for diverse datasets.
• Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
• Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
• Experience with API integration for AI services and building scalable applications.

Desirable Skills:

• Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
• Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
• Exposure to different chunking strategies, including overlap and semantic segmentation.
• Understanding of DevOps practices for deploying and managing AI models in production.
• Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.