Description

You will build and maintain scalable data pipelines in AWS, managing transformations across Redshift and Snowflake.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines within AWS cloud environments.
• Implement data transformations using DBT, ELT processes, and advanced SQL.
• Develop and optimize data workflows using Python.
• Manage data warehousing solutions across Redshift and Snowflake.
• Utilize Git for version control and adhere to Agile/Scrum practices.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Hands-on experience with DBT and ELT processes.
• Experience working with Snowflake and Redshift.
• Working knowledge of AWS cloud environments.
• Proficiency with Git for version control.
• Experience working in Agile/Scrum environments.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Exposure to Generative AI and unstructured data.
• Experience within the insurance industry.

Key Skills

Education

Any Graduate