Description

Lead hands-on development of data pipelines and architecture.

Responsibilities

• Execute hands-on development of data engineering solutions.
• Build and maintain data pipelines using AWS services.
• Optimize data processing workflows and storage.

Required Skills

• 12+ years of professional data engineering experience.
• Proficiency with AWS Glue, Step Functions, and Lambda.
• Strong experience with PySpark for large-scale data processing.
• Deep knowledge of SQL.
• Experience managing and querying Amazon Redshift.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience working with Oracle ERP systems.

Key Skills

Education

Bachelor's degree