AWS Data Engineer (Senior)

Overview

Senior role focused on developing and maintaining data pipelines and models using AWS technologies.

Ideal candidate should have 3+ years of experience with PySpark and SQL and strong problem-solving skills.

Locations

• United States, Washington, Seattle

Requirements

• Bachelor's degree required
• 3+ years experience with PySpark and SQL
• 2+ years experience with Amazon EMR or Glue
• 2+ years experience with Amazon Redshift or Snowflake
• 1+ years experience with Airflow
• Strong problem-solving skills
• Excellent communication skills
• Ability to work independently and in a team

Responsibilities

• Develop and maintain data pipelines
• Create data models and end-user querying
• Build and maintain orchestration of data pipelines
• Collaborate with teams to understand data needs
• Troubleshoot and optimize data pipelines
• Write and maintain PySpark and SQL scripts
• Document and communicate technical solutions
• Stay updated with AWS data technologies