SNOWFLAKE PYTHON AI DEVELOPER @ KK SOFTWARE ASSOCIATES
We are seeking a highly skilled Snowflake Python AI Developer to join our client's team located in Charlotte, NC. This role is strictly local to Charlotte and requires a professional with deep technical expertise in Snowflake architecture and advanced SQL capabilities. The successful candidate will be responsible for managing administrative features, including UI/Snowsight, CLI, and APIs, while ensuring the performance and scalability of the data platform. You will play a critical role in designing robust database solutions and troubleshooting complex performance issues in a cloud-centric environment.
In addition to Snowflake expertise, the ideal candidate will possess strong programming skills in Python for automation and the development of ETL/ELT pipelines. You will be expected to work effectively with cloud service providers like AWS, Azure, or GCP and integrate DevOps tools such as Docker, Kubernetes, and CI/CD into the development lifecycle. This position involves collaboration within an agile framework using tools like Jira to manage tasks and deliverables. If you are a proactive developer with a background in database design and cloud infrastructure, this local opportunity in Charlotte is an excellent fit for your career growth.
In addition to Snowflake expertise, the ideal candidate will possess strong programming skills in Python for automation and the development of ETL/ELT pipelines. You will be expected to work effectively with cloud service providers like AWS, Azure, or GCP and integrate DevOps tools such as Docker, Kubernetes, and CI/CD into the development lifecycle. This position involves collaboration within an agile framework using tools like Jira to manage tasks and deliverables. If you are a proactive developer with a background in database design and cloud infrastructure, this local opportunity in Charlotte is an excellent fit for your career growth.
Key Requirements
Deep knowledge of Snowflake architecture and internal data structures.
Proficiency in SQL for complex data querying and manipulation.
Experience with administrative features such as UI/Snowsight, CLI, and APIs.
Solid understanding of cloud service providers including AWS, Azure, or GCP.
Extensive experience with Python for automation and scripting tasks.
Proven ability to build and maintain efficient ETL/ELT pipelines.
Strong background in database design and performance monitoring.
Familiarity with containerization tools like Docker and orchestration via Kubernetes.
Experience implementing CI/CD pipelines in a cloud environment.
Knowledge of ITSM tools such as Jira for project and task tracking.