Description

You will own data warehousing, pipeline architecture, and ML optimization on AWS.

Responsibilities

• Design and build scalable data pipelines and complex ETL processes using Python and SQL.
• Architect and maintain data warehouses within the AWS Cloud ecosystem.
• Optimize machine learning pipelines, models, and business prediction algorithms.
• Develop and maintain complex SQL scripts for data transformation and analysis.

Required Skills

• 12+ years of total professional experience in software or data engineering.
• 5+ years of specific experience in Data Warehousing and Data Engineering.
• 5+ years of hands-on experience with Python and other programming languages.
• 4+ years of experience building data pipelines, ETL workflows, and complex SQL scripting.
• Strong, practical knowledge of AWS Cloud Data Services.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Information Systems, or equivalent work experience.

Key Skills

Education

Bachelors