Negotiable
Undetermined
Remote
Remote
Summary: The role is for a Snowflake Developer with a GIS background, focusing on designing, building, and optimizing scalable data solutions within the Snowflake AI Data Cloud. The position is remote and long-term, requiring expertise in data modeling, cloud platforms, and SQL scripting. The candidate will work with various data transformation tools and cloud ecosystems to enhance data architecture and performance.
Key Responsibilities:
- Expert-level proficiency in Data Modeling & Architecture and able to build and maintain schemas, tables, materialized views, and secure data-sharing structures.
- Proficiency in Cloud & Data Platforms with deep understanding of cloud ecosystems (AWS, Azure, or Google Cloud Platform) and data warehouse design methodologies.
- Expert in virtual warehouse sizing, query profiling, and Snowflake's multi-cluster architecture.
- Expert in SQL & Scripting: Advanced SQL fluency is a must, along with proficiency in procedural scripting, Python, or Java.
- Proficiency in Data Transformation Tools like familiarity with data transformation and orchestration frameworks (e.g., dbt, Airflow, Fivetran).
Key Skills:
- Expert-level proficiency in Data Modeling & Architecture
- Proficiency in Cloud & Data Platforms (AWS, Azure, Google Cloud Platform)
- Expertise in virtual warehouse sizing and query profiling
- Advanced SQL fluency and proficiency in Python or Java
- Familiarity with data transformation and orchestration frameworks (e.g., dbt, Airflow, Fivetran)
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Snowflake Developer with GIS Background Remote Long Term
Snowflake Developer with GIS-background who designs, builds, and optimizes scalable data solutions within the Snowflake AI Data Cloud.
- Expert-level proficiency in Data Modeling & Architecture and able to build and maintain schemas, tables, materialized views, and secure data-sharing structures.
- Proficiency in Cloud & Data Platforms with deep understanding of cloud ecosystems (AWS, Azure, or Google Cloud Platform) and data warehouse design methodologies.
- Expert in Expertise in virtual warehouse sizing, query profiling, and Snowflake s multi-cluster architecture.
- Expert in SQL & Scripting: Advanced SQL fluency is a must, along with proficiency in procedural scripting, Python, or Java.
- Proficiency in Data Transformation Tools like familiarity with data transformation and orchestration frameworks (e.g., dbt, Airflow, Fivetran).