Description

Build and optimize scalable data pipelines and models using DBT, SQL, and Snowflake.

This role is hybrid.

Responsibilities

• Develop and maintain data pipelines using DBT and advanced SQL on Snowflake.
• Design and implement scalable data models, including dimensional modeling and normalization.
• Manage data warehousing tasks such as ingestion, query optimization, and performance tuning in Snowflake.
• Implement data transformations, testing, and documentation within the DBT framework.
• Use Python for automation, scripting, and additional data processing.

Required Skills

• 6+ years of experience in data engineering or related roles.
• Strong hands-on experience with DBT (Data Build Tool) and advanced SQL.
• Experience working with Snowflake or similar modern cloud data warehouses.
• Good understanding of data modeling concepts (dimensional modeling, normalization).
• Strong knowledge of ETL/ELT processes and data pipeline design.
• Experience with Python for data processing and automation.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with data orchestration tools like Airflow.
• Knowledge of data governance, testing frameworks, and BI tools (Power BI, Tableau).

Key Skills

Education

Bachelor's degree