Description

You will lead data engineering efforts focused on data warehousing and pipeline development.

Responsibilities

• Model complex data structures using advanced data modeling concepts.
• Develop and maintain modular SQL workflows using DBT.
• Tune and manage data warehousing performance within Snowflake.
• Implement and maintain version control and CI/CD practices for data pipelines.

Required Skills

• 5+ years of professional experience in data engineering.
• Advanced proficiency in PL/SQL.
• Expertise in SQL and data modeling principles.
• Deep experience with Snowflake for warehousing and tuning.
• Hands-on experience with Git for version control.
• Practical knowledge of CI/CD Practices.

Key Skills

Education

Any Graduate