Snowflake Data Engineer

11 hours ago

Bengaluru, Karnataka, India Techno Facts Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

A Senior Snowflake Developer with Cortex experience is responsible for designing,

building, and optimizing data solutions on the Snowflake platform, with a specific

focus on leveraging Snowflake Cortex for AI-driven features like RAG (Retrieval-

Augmented Generation), LLM functions, and vector search. Key responsibilities

include developing scalable ETL/ELT pipelines, creating data models, implementing

AI assistants, and coaching other team members, all while adhering to best practices

in performance, cost control, and security.

Skills:

  • Bachelors degree in Computer Science, Software Engineering, Information
  • Technology, or related field required.
  • At least 4 years of experience in data development and solutions in highly complex data environments with large data volumes.
  • At least 3 years of SQL / PLSQL experience with the ability to write ad-hoc
  • and complex queries to perform data analysis.
  • At least 3-5 years of experience developing data pipelines and data
  • warehousing solutions using Python and libraries such as Pandas, NumPy
  • etc.
  • Familiarity with Snowflake's architecture, including virtual warehouses, data
  • storage layers, and compute scaling.

Key Responsibilities:

  • Design, build, and deploy data solutions using Snowflake, Snowflake Cortex
  • (including Cortex Analyst, LLM functions, and vector search), and Snowpark
  • (Python).
  • Develop AI solutions to automate tasks, provide insights, and build AI-
  • powered assistants or chatbots.
  • Create and maintain high-quality, scalable ELT/ETL pipelines with strong
  • SLAs, cost controls, and monitoring.
  • Design and implement Snowflake data models and schemas to support
  • complex analytical workloads.
  • Write clean, efficient Python and SQL code, conduct code reviews, and
  • mentor junior developers.
  • Optimize existing data pipelines and queries for performance and cost-
  • efficiency.
  • Implement and maintain CI/CD pipelines for automated testing and
  • deployment of data solutions.
  • Work with cross-functional teams, including data analysts and product
  • owners, to gather requirements and deliver data-driven value.
  • Apply and enforce data governance and security best practices, including
  • role-based access control (RBAC), masking,

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