Job Summary
To develop and deliver codes for the work assigned in accordance with time| quality and cost standards.
Key Responsibilities
Job Description: Python & Snowflake Engineer with AI/Cortex Development 4 to 7 years of experience in developing Data Engineering and data science projects using Snowflake/AI Cloud platform on AWS cloud. Snow Park experience preferred. Experience with different data modeling techniques is required. 4- 7 yrs experience with Python development. Used tools like VS Code or anaconda, version control using Git or Bitbucket and Python unit testing frameworks. 1+ years of experience in building snowflake applications using Snowflake AI/Cortex platform (specifically cortex agents, cortex search and cortex LLM with understanding of context enrichment using Prompts or Retrieval-Augmented-Generation methods). Deep understanding of implementing Object oriented programming in the Python, data structures like Pandas, data frames and writing clean and maintainable Engineering code. Understanding multi-threading concepts, concurrency implementation using Python server-side python custom modules. Implementing Object-Relational mapping in the python using frameworks like SQLAlchemy or equivalent. Good at developing and deploying Python applications like lamda on AWS Cloud platform. Good at deploying web applications on AWS Cloud using docker containers or Kubernetes with experience of using CI/CD pipelines. Good at developing applications Snowpipe and Snowpark and moving the data from Cloud sources like AWS S3 and handling unstructured data from data lakes. Good at Snowflake Account hierarchy models, Account-role-permissions strategy. Good at Data sharing using preferably Internal Data
Skill Requirements
|
Skill |
Skills |
|
Snowflake, SQL |
Must Have |
|
Python |
Must Have |
|
Dbt / Airflow |
Good to have |