Description

You will develop, maintain, and optimize data pipelines using DBT and SQL.

Responsibilities

• Develop and maintain scalable data models in collaboration with analysts and business teams.
• Implement data transformations, testing, and documentation within the DBT framework.
• Manage data warehousing tasks in Snowflake, including ingestion, query optimization, and performance tuning.
• Automate data processing and scripting using Python where necessary.

Required Skills

• 4–8 years of experience in data engineering or related roles.
• Strong, hands-on expertise with DBT and advanced SQL.
• Experience working with modern data warehouses, specifically Snowflake.
• Knowledge of ETL/ELT processes and data modeling concepts.
• Proficiency with Data Warehouses and Data Engineering practices.
• Familiarity with Python for data manipulation and workflow automation.
• Experience with Tableau or Looker for testing data outputs.

Preferred Skills

• Experience with version control tools like Git for managing DBT projects.
• Exposure to orchestration tools such as Airflow or Prefect.

Key Skills

Education

Bachelor's degree