Snowflake Developer with GIS Background

Snowflake Developer with GIS Background

Posted Today by Code Repo

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

Detailed Description From Employer:
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).