Snowflake Data Engineer_AI Engineer
- Hiring from
- India
- Work type
- Hybrid
- Posted
616,756 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
About Us
Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.
Why Kumaran?
We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.
Job Description
Snowflake Data Engineer / AI Engineer
Role Summary
We are looking for a Snowflake Data Engineer / AI
Engineer to build and support modern 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
Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.
