AWS Data Engineer (Senior)

What you will do?

• Develop and maintain data pipelines using Amazon EMR or Amazon Glue.
• Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
• Build and maintain the orchestration of data pipelines using Airflow.
• Collaborate with other teams to understand their data needs and help design solutions.
• Troubleshoot and optimize data pipelines and data models.
• Write and maintain PySpark and SQL scripts to extract, transform, and load data.
• Document and communicate technical solutions to both technical and non-technical audiences.
• Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems.

What are we looking for?

• 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 the orchestration of data pipelines using Airflow.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration skills.
• Ability to work independently and within a team environment.

You are preferred if you have…