Data & Analytics Engineer - Consultant
Overview
KPMG Indiakpmg.comPosted 2 days ago
Pune, Maharashtra, INOn-site
Quick apply- Seniority level
- Mid
- Employment type
- Full time
- Work experience
- 4+ years
- Specialization
- Data engineering
Key skills
- Snowflake
- ETL
- Python
- SQL
- CI/CD
- Git
- Data Engineering
- Troubleshooting
Snowflake Cortex AI Engineer: Consultant
- 4+ years Snowflake experience with strong grasp of architecture (compute–storage separation, micro-partitions, virtual warehouses, RBAC) and features (Snow pipe, Streams/Tasks, Dynamic Tables).
- Design, develop, and deploy Conversational AI solutions on Snowflake using Cortex Analyst, Cortex Agents, Cortex Search, and Snowpark, enabling natural language interaction with enterprise data.
- Build and maintain Streamlit applications on Snowflake to deliver secure, scalable, and user-friendly AI-powered analytics and chatbot experiences.
- Develop robust ETL/ELT data pipelines using Snowflake, Python, SQL, and orchestration tools to ingest, transform, and curate data across Bronze, Silver , and Gold layers.
- Create and manage semantic models, business metrics, governed data products, and AI-ready data models to improve the accuracy and reliability of AI-generated insights.
- Implement best practices for performance optimization, security, RBAC, data governance, monitoring, CI/CD, Git integration, and automated deployments within Snowflake environments.
- Collaborate with business stakeholders, data engineers, and analytics teams to translate business requirements into scalable AI, analytics, and data engineering solutions, while troubleshooting and optimizing production workloads.