Description

You will build and maintain data pipelines using modern cloud architectures and transformation tools.

Responsibilities

• Develop and manage data workflows using Python and DBT.
• Engineer scalable data solutions within Snowflake and Databricks environments.
• Implement and optimize data processes across AWS and Azure cloud platforms.
• Maintain data integrity and pipeline reliability for long-term projects.

Required Skills

• 12+ years of professional data engineering experience.
• Expertise in Snowflake.
• Hands-on experience with Databricks.
• Proficiency in DBT.
• Advanced Python programming skills.
• Experience working with AWS.
• Experience working with Azure.
• Ability to work within the PST time zone.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Graduate