Senior Snowflake Data Engineer - DBT, SQL & Python Lead

Sapsf; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Sapsf is seeking a Snowflake Senior Technical Specialist to manage and optimize Snowflake, DBT, SQL, and Python pipelines for analytics and reporting. The role focuses on building robust data pipelines, ensuring data integrity, and enabling data-driven decision making.

The candidate will design ETL processes with DBT, write advanced SQL queries, and automate data workflows using Python while upholding data security and governance standards across the cloud environment.

Qualifications

• Proficiency with Snowflake for data warehouse design, implementation, and optimization.
• Experience with DBT to manage transformations and modeling in a cloud data warehouse.
• Strong SQL skills to write and optimize complex queries for analytics.
• Proficiency in Python for data manipulation, automation, and visualization.
• Knowledge of data governance best practices and data security in cloud environments.

Responsibilities

• Develop and optimize Snowflake data cloud environment and troubleshoot issues.
• Design and implement ETL processes using DBT to load data into Snowflake for analytics.
• Write complex SQL queries for data extraction and analysis across business units.
• Use Python to automate data processes, build pipelines, and create visualizations.
• Collaborate with cross-functional teams to translate data requirements into solutions.
• Ensure data security and governance practices comply with industry standards.

Skills

Snowflake data platform

DBT Fundamentals

SQL

Python

Data governance

Analytical thinking

Job description

Sapsf is seeking a Snowflake Senior Technical Specialist to manage and optimize Snowflake, DBT, SQL, and Python pipelines for analytics and reporting. The role focuses on building robust data pipelines, ensuring data integrity, and enabling data-driven decision making.

The candidate will design ETL processes with DBT, write advanced SQL queries, and automate data workflows using Python while upholding data security and governance standards across the cloud environment.