Snowflake Data Platform Engineer - DBT, SQL & Python

Sapsf; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

Sapsf is seeking a Snowflake Technical Specialist in the United States to manage the Snowflake data platform, use dbt for transformations, and develop SQL and Python scripts for data operations. The role focuses on optimizing performance, ensuring data quality, and building robust data pipelines.

The candidate will collaborate with cross-functional teams to design efficient ETL processes and stay current with best practices in Snowflake, dbt, SQL, and Python.

Qualifications

• Experience administering Snowflake data platform, including security and performance tuning.
• Proficient in dbt for data transformation and modeling.
• Strong SQL skills for data extraction and manipulation.
• Advanced Python skills for scripting and automation.
• Ability to collaborate with cross-functional teams to deliver data solutions.

Responsibilities

• Manage and administer Snowflake data platform incl. security, access control, performance optimization.
• Utilize dbt to create and maintain data transformation workflows.
• Develop SQL queries and procedures to support business requirements.
• Write Python scripts for data tasks, automation, and quality checks.
• Collaborate with cross-functional teams to design data pipelines and ETL processes.
• Troubleshoot data issues and ensure data integrity.
• Stay updated with Snowflake, dbt, SQL, and Python best practices.

Skills

Snowflake platform

DBT

SQL

Python

Cross-functional collaboration

Data quality

Education

Bachelor's degree in CS or related field

Tools

Snowflake

dbt

Python

Job description

Sapsf is seeking a Snowflake Technical Specialist in the United States to manage the Snowflake data platform, use dbt for transformations, and develop SQL and Python scripts for data operations. The role focuses on optimizing performance, ensuring data quality, and building robust data pipelines.

The candidate will collaborate with cross-functional teams to design efficient ETL processes and stay current with best practices in Snowflake, dbt, SQL, and Python.