Snowflake Data Engineer with CoCo

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Job IDs  : P-101838

Job Description for Snowflake Data Engineer with CoCo across PAN India:

Primary Focus: 

• Development, orchestration, and maintenance of the agentic framework that automates the engineering lifecycle. 

Secondary Focus: 

• Technical execution and delivery of the Data Engineering lifecycle (Discover, Build, Test, Deploy). 

• 7+ Years Experience Snowflake Data Engineer with CoCo exp 

Key Responsibilities: 

• Develop and refine agentic workflows using the Snowflake CoCo (CoCo) harness. Integrate LLMs, Cortex AI models, and orchestration logic to automate discovery, impact analysis, build, and testing stages. 

• Build "Specification Driven Development" (SDD) capabilities, creating machine-readable instructions for data products. 

• Collaborate with Data Engineers to convert manual engineering tasks into autonomous agentic patterns. 

• Drive technical execution for data product delivery and datasets optimized for enterprise consumption. 

• Oversee core engineering layer components, including SQL Stored Procedures, DBT models, and DataOps.Live. 

• Maintain code quality and minimize defects while ensuring full alignment with EDO governance standards Contribute to automated engineering lifecycles—covering ingestion through deployment—via platform-agnostic frameworks. 

Essential Skills: 

• AI/GenAI Engineering: Deep experience with Cortex Skills, LLM integration, and Retrieval-Augmented Generation (RAG) concepts. 

• Agentic Frameworks: Proficiency in building and maintaining agentic workflows (e.g., CoCo CLI, Model Context Protocol). 

• Foundational Knowledge: Solid background in data engineering (SQL, Python) to bridge the gap between AI capabilities and data platform requirements. 

• Core Engineering Competencies: Advanced technical mastery of SQL, DBT models, and DataOps.Live (DOL) orchestration. 

• Platform Expertise: Comprehensive proficiency across the Snowflake ecosystem and its integrated service offerings. 

• Data Product Lifecycle: Strategic command of multi-tier architectures (Bronze, Silver, Gold) and the management of enterprise-grade data products.