Job Role

Seeking an experienced Data Engineer with 5–8+ years of experience to design and build scalable Snowflake data platforms, production-grade pipelines, governed semantic layers, and AI-ready data solutions. The role combines Snowflake engineering, data modeling, Python, governance, and GenAI/agentic AI integration, with ownership from requirements through production.

Responsibilities

Design, build and maintain scalable Snowflake data pipelines and architectures.

Develop dimensional models, curated data marts, semantic layers and AI-ready business entities.

Build and optimize Snowflake objects including tables, views, energetic tables, streams, tasks and stored procedures.

Implement Snowflake Cortex, embeddings, vector search and LLM-based data workflows.

Build governed semantic layers that enable trusted metrics and business definitions for BI, copilots and AI agents.

Develop Python automation, data-quality frameworks, metadata workflows and pipeline orchestration.





Build and support AI agents/assistants that interact safely with enterprise data.

Implement data governance, lineage, access control, privacy, documentation and policy-aware data usage.

Apply testing, monitoring, observability and performance optimization to ensure production reliability.

Own delivery end-to-end—from ambiguous business requirements through design, development, testing and production deployment.

Required skills

Advanced SQL, DE ,python , data modelling, snowflake AI cortex

Semantic Layers, AI Agents/Agentic AI, RAG, Vector Search, Embeddings, ETL/ELT, Matillion, Fivetran, Git, CI/CD, Data Quality, Metadata Management

We are an equal chance employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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