Henry Harvin India
Website:
henryharvin.com
Company:
https://www.linkedin.com/company/brio-classes
Seniority: Entry level
Industries: Education Administration Programs
Job details:
*Job Summary*
We are looking for a skilled and motivated *Cloud Data & Generative AI Engineer* to design, develop, deploy, and optimize cloud-based data and AI solutions. The ideal candidate should have hands-on experience with *Microsoft Azure, Databricks, Python, SQL, Data Engineering, LLMs, Generative AI, RAG, and AI application development*.
The role involves working across cloud infrastructure, data pipelines, analytics, machine learning, Generative AI applications, and modern AI architectures.
## Key Responsibilities
* Design and implement scalable data and cloud solutions using *Microsoft Azure*.
* Develop and manage Azure services including *Azure Storage, Azure SQL, Cosmos DB, Virtual Machines, App Services, Azure Functions, API Management, Logic Apps, Event Hub, Service Bus, and Azure Monitor*.
* Build and optimize data engineering pipelines using *Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Azure Data Factory*.
* Develop ETL/ELT pipelines and implement data ingestion, transformation, validation, and quality processes.
* Work with *ADLS, Azure Synapse Analytics, Databricks, and Power BI* for end-to-end data solutions.
* Implement CI/CD and infrastructure automation using *Git, GitHub, GitHub Actions, Docker, Terraform, and Azure DevOps*.
* Develop Python-based applications and APIs using frameworks such as *FastAPI*.
* Work with *Machine Learning, Large Language Models (LLMs), NLP, Transformers, and pre-trained models*.
* Develop and deploy Generative AI applications, chatbots, and conversational AI solutions using Azure AI services.
* Design and implement *Prompt Engineering, Azure AI Foundry, Azure AI Search, RAG, vector search, embeddings, and agentic AI solutions*.
* Build AI agents using *tool/function calling, Semantic Kernel, LangChain, Azure AI Agent Service, and MCP*.
* Develop Retrieval-Augmented Generation (RAG) pipelines with retrieval, grounding, reranking, query rewriting, and evaluation.
* Implement monitoring, security, governance, compliance, and performance optimization for cloud, data, and AI workloads.
* Troubleshoot technical issues across cloud infrastructure, data pipelines, applications, and AI solutions.
* Collaborate with cross-functional teams to understand business requirements and deliver scalable technology solutions.
## Required Skills
* Microsoft Azure
* Azure Databricks
* Python
* SQL
* PySpark / Apache Spark
* Data Engineering & ETL/ELT
* Azure Data Factory
* Azure Data Lake Storage (ADLS)
* Azure Synapse Analytics
* Delta Lake
* Git & GitHub
* Docker
* GitHub Actions / CI-CD
* Terraform
* Power BI
* Machine Learning fundamentals
* Large Language Models (LLMs)
* Generative AI
* Prompt Engineering
* Azure AI / Azure OpenAI
* Azure AI Search
* RAG / Vector Search / Embeddings
* Agentic AI & Tool Calling
* MCP (Model Context Protocol)
* LangChain / Semantic Kernel
* FastAPI
## Good to Have
* Experience with Databricks architecture and performance optimization.
* Knowledge of Azure security, identity, DevSecOps, and governance.
* Experience with Kafka or Azure Event Hubs for real-time data processing.
* Knowledge of Power BI and advanced analytics.
* Experience with Collibra or data governance platforms.
* Familiarity with New Relic and application/infrastructure observability.
* Understanding of AI model evaluation, monitoring, responsible AI, and data privacy.
## Education
Bachelor's or Master's degree in *Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering*, or a related field.
## Experience
*10-12 years* of relevant experience in Cloud, Data Engineering, AI/ML, Generative AI, or related technology domains.
## Key Competencies
*Cloud Computing | Data Engineering | Azure | Databricks | Python | SQL | DevOps | Data Analytics | Machine Learning | Generative AI | LLMs | RAG | AI Agents | Azure AI | Prompt Engineering*
Course- Salesforce Developer Training
Training - Offline
Duration -200 Hrs
Days- Mon to Fri ( 8 Hours per day )
Timing- 10 am to 7 pm
Address: Commerzone IT Park, Building No. 4, Samrat Ashok Path, off Airport Road, Yerawada, Pune, Maharashtra, 411006.
Click on Apply to know more.
