Job Overview

- Role: Data Engineer - Cortex & Agentic AI
- Engagement: Contract – 6 months (with potential conversion to full-time based on performance and location fit)
- Location: Pune (Hybrid)
- Availability: Immediate joiners / short notice preferred

Role Overview

We are looking for an experienced Data Engineer to architect and build advanced Agentic AI use-cases on Snowflake, embedding GenAI capabilities directly into core data workflows. This is a hands-on role for someone who combines deep Snowflake platform expertise with robust Python/SQL engineering skills and a solid grasp of LLM cost and performance optimization.

Key Responsibilities

- Cortex & Agentic Architecture: Architect and implement advanced Agentic use-cases leveraging Snowflake Cortex, embedding LLM capabilities (summarization, anomaly detection, automated insights) directly into core data workflows.
- Pipeline Development: Design, build, and deploy highly scalable data pipelines natively within Snowflake using Snowpark and Python/SQL stored procedures.
- Cost & Performance Optimization: Rigorously monitor, troubleshoot, and optimize Snowflake compute costs and query performance, specifically focusing on execution efficiency of LLMs and Agentic functions.
- Data Modeling & Architecture: Apply expert-level data modeling practices to design clean, scalable, and secure data schemas supporting both traditional analytics and complex AI/ML workloads.
- Delivery & Execution: Operate effectively in a fast-paced contract environment,



owning end-to-end technical delivery from architecture to deployment and hitting the ground running on immediate business challenges.
- Engineering Standards: Maintain high engineering standards by writing clear technical design documents, conducting thorough code reviews, and implementing CI/CD best practices for Snowflake artifacts.

Requirements

- Experience: 4+ years of Data Engineering experience building complex, high-performance Analytics and AI-driven production systems.
- Snowflake Expertise: Deep, hands-on professional experience with Snowflake, including advanced data modeling, schema design, and native Snowflake features.
- Snowflake Cortex & GenAI: Demonstrable experience leveraging Snowflake Cortex AI to build scalable GenAI and Agentic use-cases directly within the data platform.
- Programming Languages: Expert-level proficiency in Python and SQL, with strong foundational knowledge in data structures, algorithms, and software engineering best practices.
- LLM & Cost Optimization: Deep understanding of performance tuning and cost optimization tailored for LLMs, vector searches, and Agentic systems running within cloud data platforms.
- Cloud & Operations: Familiarity with modern cloud platforms (AWS/GCP/Azure) integrated with Snowflake infrastructure, alongside solid understanding of production system operations (observability, data quality monitoring, reliability, Snowflake security/RBAC).
- Education & Soft Skills: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) paired with strong verbal and written communication skills to translate complex AI/data concepts to business stakeholders.

📌 Data Engineer - Cortex & Agentic AI (Pune)
🏢 Clevanoo
📍 Pune