Description

You will design and maintain data pipelines to support large-scale data warehousing and analytics.

This role is remote.

Responsibilities

• Develop and manage ELT/ETL processes to move data across cloud environments.
• Build and optimize data pipelines using Python and SQL.
• Maintain data lakes and warehouse architectures within AWS.
• Integrate various cloud tools to ensure seamless data flow and availability.

Required Skills

• 5+ years of professional experience in data engineering.
• Proficiency in Python and SQL.
• Hands-on experience with AWS and Snowflake.
• Experience using DBT for data transformation.
• Knowledge of ETL/ELT development workflows.
• Experience with cloud integration tools such as Glue, Boomi, or Matillion.
• Familiarity with GitHub and version control.
• Experience working with Data Lakes and Data Warehousing architectures.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate