Job Summary
skilled Data Engineer to join our team, primarily focused on building and maintaining data solutions within the Snowflake ecosystem on Azure. This role is hands-on and heavily focused on Snowflake.
Key Responsibilities
Design, develop, and maintain data engineering pipelines using Snowflake-native features including Streams, Tasks, and Dynamic Tables.
Build interactive data applications using Streamlit in Snowflake to enable self-service analytics and internal tooling.
Implement AI-powered solutions using the Snowflake Cortex suite, including Cortex Analyst, Cortex Agents, Cortex Search Services, and Cortex LLM functions to address business needs.
Design and maintain data warehouse architectures following sound data modeling principles (dimensional modeling, Data Vault, or equivalent).
Develop and optimize ELT pipelines, ensuring data quality, reliability, and performance at scale.
Monitor, troubleshoot, and optimize pipeline performance and resource utilization within Snowflake.
Skill Requirements
Design, develop, and maintain data engineering pipelines using Snowflake-native features including Streams, Tasks, and Dynamic Tables.
Build interactive data applications using Streamlit in Snowflake to enable self-service analytics and internal tooling.
Implement AI-powered solutions using the Snowflake Cortex suite, including Cortex Analyst, Cortex Agents, Cortex Search Services, and Cortex LLM functions to address business needs.
Design and maintain data warehouse architectures following sound data modeling principles (dimensional modeling, Data Vault, or equivalent).
Develop and optimize ELT pipelines, ensuring data quality, reliability, and performance at scale.
Monitor, troubleshoot, and optimize pipeline performance and resource utilization within Snowflake.