Snowflake Data Engineer / AI Engineer

Role Summary

We are looking for a Snowflake Data Engineer / AI
Engineer to build and support up-to-date Snowflake data pipelines and
AI-enabled solutions. This role is best suited for someone with strong hands-on
experience in Snowflake engineering and practical enterprise AI use
cases, especially around LLM-enabled workflows and document data
extraction.

This is a hybrid role focused on:

- Snowflake
AI functions and Snowflake-native AI capabilities

- Streams,
Tasks, Snowpipe, and pipeline orchestration

- Data
pipeline design, development, troubleshooting, and operational support

- Effective
prompt design for LLM-driven workflows

- Evaluation
of LLM quality and performance

- Document
extraction from scanned, semi-structured, or business documents

Top Priority Skills

- Strong
hands-on experience with Snowflake

- Experience
with Snowflake AI functions / Snowflake-native AI capabilities

- Experience
using Streams, Tasks, Snowpipe, and orchestration tools

- Strong
background in data pipeline design, development, troubleshooting, and
support

- Experience
writing effective prompts for LLM-based solutions

- Experience evaluating LLM performance, including output quality, consistency,
groundedness, latency, and cost

- Experience
building or supporting document extraction / intelligent document
processing solutions

- Strong
SQL skills

- Experience
designing batch and near-real-time data workflows





Key Responsibilities

- Design,
build, and maintain scalable data pipelines in Snowflake

- Develop
and support ingestion and transformation workflows using Snowpipe,
Streams, Tasks, and orchestration frameworks

- Troubleshoot
pipeline performance, failures, latency issues, and data quality problems

- Build
AI-enabled workflows using Snowflake AI capabilities and LLM-based
patterns

- Create
and refine prompts for extraction, summarization, classification, and
retrieval-based use cases

- Define
and apply methods to evaluate LLM performance in production

- Design
document processing workflows for extracting structured data from PDFs,
scanned files, forms, invoices, or similar business documents

- Implement
validation, confidence scoring, exception handling, and human review where
needed

- Partner
with stakeholders to deliver reliable, governed, and cost-conscious
solutions

Required Experience

- Experience
in Snowflake data engineering

- Experience
with Streams, Tasks, Snowpipe, and related Snowflake pipeline
patterns

- Experience
with pipeline orchestration

- Experience
troubleshooting slow, unreliable, or failing data pipelines

- Experience
with LLM prompts and AI workflow design

- Experience
evaluating LLM or AI solution quality

- Experience
with document extraction, OCR-supported workflows, or intelligent
document processing

- Strong
SQL and data modeling fundamentals

📌 Snowflake Data Engineer_AI Engineer (Thazhambur)
🏢 Important Group
📍 Thazhambur