Senior Data Engineer

Agentic AI Enablement & Snowflake Data Platform

Years of Experience: 6+ years

Role Overview:

We are seeking a highly skilled Senior Data Engineer to support enterprise AI and analytics initiatives. This role is responsible for designing, developing, and maintaining the data foundation that powers advanced AI-driven applications, including agentic AI solutions.

The ideal candidate is not just a traditional data engineer, but someone who can bridge data engineering, data quality, semantic modelling, and AI enablement. They will create scalable Snowflake data products, optimize complex SQL workloads, design curated semantic views, and develop metadata and skill definitions that enable AI agents to generate accurate, explainable, and business-relevant insights.

This role is critical to enabling intelligent, data-driven solutions across multiple business domains and enterprise data sources.

Key Responsibilities:

Data Engineering & Snowflake Development
- Design, build, and maintain scalable Snowflake data models, views, agile tables, and data pipelines.




- Develop optimized, reusable, and business-friendly semantic layers for AI and analytics applications.
- Create curated datasets and agent-ready views that support natural language querying and AI-driven insights.
- Integrate data from multiple enterprise source systems across business and operational domains.
- Ensure high-performance query execution through advanced SQL optimization and Snowflake best practices.

AI Agent Skill & Semantic Layer Development:
- Develop metadata-driven skill definitions and markup files that enable AI agents to understand business context and data relationships.
- Translate business requirements into reusable AI agent skills and routing logic.
- Design semantic models that support agentic AI applications, dashboards, reporting, analytics, and data science workflows.
- Partner with AI engineers to improve agent accuracy, grounding, and reasoning capabilities.

📌 Senior Data Engineer (Coimbatore)
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