INSenior Associate Azure PaaS Emerging Businesses Advisory Gurgaon

Job Description & Summary: A career in our New Technologies practice within Application and Emerging Technology services offers the opportunity to design and build modern cloud-native solutions on Microsoft Azure that power the next generation of digital businesses. You will help clients create scalable secure and high-performing data and AI platforms by leveraging Azure services such as Azure Synapse Azure Databricks Azure Data Factory Azure OpenAI Service and Azure Cognitive Services. Our team focuses on building end-to-end data pipelines lakehouse architectures and enterprise-grade GenAI solutionsincluding intelligent applications copilots and domain-specific assistantsthat enable advanced analytics automation and innovation. We emphasize secure compliant and scalable architectures that help organizations unlock the value of their data and transform how they operate and compete.

Responsibilities:

Design and implement scalable data ingestion and transformation pipelines using Azure Data Factory Azure Synapse Pipelines Databricks and serverless compute; build and manage data lakes and lakehouse architectures using ADLS Delta Lake and enterprise Azure warehouse components; develop PySpark/Python data processing jobs for batch and streaming; implement real-time ingestion with Azure Event Hubs Azure Stream Analytics or Kafka; apply best practices for data modeling partitioning indexing compression cost optimization and performance tuning across Azure platforms; ensure data quality lineage metadata management and auditing across the lifecycle; implement security and governance with Azure AD Managed

Identities Key Vault network isolation and fine-grained RBAC; design and develop GenAI applications using Azure OpenAI and Azure AI services; implement RAG architectures using Azure Cognitive Search / Azure AI Search and Azure data stores; integrate GenAI solutions with ADLS Synapse SQL SharePoint and Microsoft 365; build Python APIs microservices and backends with FastAPI/Flask hosted on Azure Functions App Service or AKS; implement prompt

Mandatory skill sets:

Azure Data Factory Azure Synapse Analytics Azure Databricks ADLS Gen2 Azure Storage PySpark Python SQL Data Warehousing ETL/ELT Data Modeling Azure SQL / SQL MI Azure OpenAI Service Azure Cognitive Services Azure Cognitive Search / Azure AI Search LangChain LlamaIndex REST API Development (FastAPI/Flask/Django) Azure Functions Azure App Service Azure AD Managed Identities RBAC Azure Key Vault Encryption Docker Git CI/CD (Azure DevOps/GitHub)

Preferred skill sets:

Azure Event Hubs Kafka Azure Stream Analytics Delta Lake / Lakehouse Architecture Azure Purview Power BI Integration Azure Machine Learning Azure OpenAI Integration Terraform / Bicep Cost Optimization on Azure Data Services Real-time Analytics Hugging Face Transformers PEFT / LoRA Fine-tuning Multi-cloud GenAI Platforms (Azure OpenAI / AWS Bedrock / Vertex AI) Prompt Engineering Techniques Frontend Integration (React / Angular) for chatbots LLMOps / MLOps

Monitoring & Logging for GenAI Security & Compliance for AI workloads

Years of experience required:

4-7

Education qualification-Full

Time:

B.E/ (if blank degree and/or field of study not specified)

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date