Data Engineer, Cortex & Agentic AI

About the job:

Data Engineer, Cortex & Agentic AI

Contract Role Product Company Location Engagement Pune (Hybrid)

Availability Contract 6 months, with potential conversion to full-time based on performance and location fit 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 strong Python/SQL engineering skills and a solid grasp of LLM cost and performance optimization. Requirements

4+ years of Data Engineering experience, with a proven track record of building complex, high-performance Analytics and AI-driven systems in production environments

Deep Snowflake expertise: extensive, 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

Expert-level proficiency in Python and SQL, with strong foundational knowledge in data structures, algorithms, and software engineering best practices

LLM cost & performance optimization: deep understanding of performance tuning and cost optimization tailored for LLMs, vector searches, and Agentic systems running within cloud data platforms

Familiarity with modern cloud platforms (AWS/GCP/Azure) and their integration with Snowflake data infrastructure

Solid understanding of production system operations, including observability, data quality monitoring, reliability, and Snowflake security/RBAC

Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Strong verbal and written communication skills, with the ability to translate complex AI/data concepts to business stakeholders efficiently Responsibilities

Architect and implement advanced Agentic use-cases leveraging Snowflake Cortex, embedding LLM capabilities (summarization, anomaly detection, automated insights) directly into core data workflows

Design, build, and deploy highly scalable data pipelines natively within Snowflake using Snowpark and Python/SQL stored procedures

Rigorously monitor, troubleshoot, and optimize Snowflake compute costs and query performance, with a focus on execution efficiency of LLMs and Agentic functions

Apply expert-level data modeling practices to design clean, scalable, and secure data schemas supporting both traditional analytics and complex AI/ML workloads

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

Maintain high engineering standards by writing clear technical design documents, conducting thorough code reviews, and implementing CI/CD best practices for Snowflake artifacts

Who can apply:

Only those candidates can apply who:

have minimum 4 years of experienceare Computer Science Engineering students

Salary:

Competitive salary

Experience:

4 year(s)

Deadline:

[hidden]:00:00 .