Job Overview
Role: Data Engineer (Snowflake & GenAI focus)
Experience: 4+ Years
Location: Pune

About Us & Team Scale
Helpshift is on a mission to modernize customer service through mobile-first, in-app chat, AI-powered chatbots, and automation for global brands like Supercell, EA, Brex, and Square. The Data Platform team manages the infrastructure powering in-app analytics and data integrations, handling over 2 million events per minute and processing 1+ TB of data daily across 900M+ monthly active users and 1000 peak VMs.
Key Responsibilities
Cortex & Agentic Architecture: Architect and implement advanced Agentic use cases leveraging Snowflake Cortex, embedding LLM capabilities (summarization, anomaly detection, automated insights) 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 the execution efficiency of LLMs and Agentic functions.
Data Modeling & Architecture: Apply expert data modeling practices to design clean, scalable, and secure data schemas supporting traditional analytics and AI/ML workloads.
Rapid Delivery: Operate in a rapid-paced workplace, owning end-to-end technical delivery from architecture to production deployment.
Engineering Standards: Maintain high standards through technical design documents, code reviews, and 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: Extensive, hands-on 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

📌 Data Engineer Pune
🏢 Clevanoo
📍 Pune