IN_Senior Associate _Azure PaaS_ Emerging Businesses _ Advisory_ Bangalore

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 solutions—including intelligent applications, copilots, and domain-specific assistants—that 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/B.Tech/M.Tech/MBA/MCA