Senior AWS Data Engineer
February 3
Description
• 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
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 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 • Preferred if you have AWS Data Analytics Specialty Certification • Experience with Agile development methodology
Benefits
• Competitive salary and benefits package • Opportunity to work with cutting-edge AWS data technologies • Collaborative and supportive work environment • Chance to be a part of a trusted leader in modern data platform solutions
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