AWS Data Engineer (Senior)

Mactores is an AWS modernization firm focused on delivering production systems and retiring legacy systems efficiently. They are seeking a Senior AWS Data Engineer to build and maintain data pipelines, design data models, and collaborate with teams to optimize data solutions within their Data Platform Modernization pillar.

Responsibilities:

• Build and maintain data pipelines on Amazon EMR or Amazon Glue that run in production
• Design data models and end-user querying on Amazon Redshift or Snowflake, Amazon Athena, and Presto
• Build and maintain pipeline orchestration with Airflow
• Work with customer and internal teams to understand data needs and design the solutions that meet them
• Troubleshoot and optimize pipelines and data models until they hold up under real load
• Write and maintain PySpark and SQL scripts to extract, transform, and load data
• Document and communicate technical decisions to technical and non-technical audiences — customers sign off on what we ship
• Track new AWS data technologies and judge their impact on the systems we run

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3+ years of experience working with PySpark and SQL
• 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue
• 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto
• 1+ years of experience building and maintaining pipeline orchestration using Airflow
• Strong problem-solving and troubleshooting skills
• Excellent communication and collaboration skills
• Ability to work independently and within a team environment
• AWS Data Analytics Specialty Certification
• Experience with Agile development methodology