Jobs → Engineering → Snowflake/Streamlit Platform Engineer

About the Role We are looking for a hands-on Snowflake/Streamlit Platform Engineer to build and enhance platform features using Snowflake, Streamlit, and Snowflake Cortex. This role involves developing Python-based applications, automation, and platform integrations in a large-scale platform environment. Key Responsibilities • Build and enhance platform features using Snowflake, Streamlit, and Snowflake Cortex • Develop Python-based applications, automation, and platform integrations • Enable AI-driven capabilities and help mature the platform • Leverage AWS services to build scalable cloud-based solutions • Collaborate in fast-paced Agile sprints with quick, impactful deliverables • Implement testing, CI/CD pipelines, and deployment automation Requirements • Strong hands-on expertise in Snowflake, Streamlit, and Snowflake Cortex • Proficiency in Python, Shell Scripting, and UNIX • 5–6 years of experience in software development and data engineering within large-scale platform environments • AWS services: S3, Glue, Lambda, Step Functions, and Lake Formation • Terraform, AWS CLI, Python APIs/Boto3, and Git/Bitbucket • Experience with CI/CD, Jenkins, and application monitoring tools