Description

Build and maintain scalable data pipelines in AWS using DBT, ELT, Python, and advanced SQL. Manage transformations across Redshift and Snowflake while using Git for version control and following Agile/Scrum methodologies.

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