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Data & Analytics Engineer - Consultant

KPMG Global Services
Bengaluru, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 1 weeks ago
gitpythonsnowflakesql

Full Job Posting

Qualifications

  • 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.

Responsibilities

  • 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.

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