Job Summary
Snowflake Data Engineer
A Snowflake Data Engineer with Gen AI skills is responsible for designing, developing, and optimizing scalable data pipelines and data models on the Snowflake platform while integrating advanced AI/ML and Generative AI capabilities to drive intelligent data solutions.
The role involves building robust ELT/ETL workflows, managing structured and semi-structured data, and ensuring data quality, governance, and performance optimization using Snowflake features such as Snowpipe, Streams, and Tasks. Additionally, the engineer leverages Gen AI frameworks (e.g., LLMs, embeddings, RAG architectures) to enable use cases like intelligent data enrichment, natural language querying, automated data cataloging, and AI-powered analytics. The position requires strong expertise in SQL, Python, cloud platforms (Azure), and data integration tools, along with the ability to collaborate with data scientists, architects, and business stakeholders to deliver scalable, secure, and AI-driven data solutions aligned with enterprise data strategies.
Experiance:- 5 to 10 years
Key Responsibilities
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.