Mactores is seeking an AWS Data Engineer (Senior) to develop and maintain data pipelines using Amazon EMR or Amazon Glue, create data models and end-user querying using Amazon Redshift or Snowflake, and build and maintain orchestration of data pipelines using Airflow.
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.
Benefits
- Challenging and engaging work environment
- Opportunities for professional growth and development
- Collaborative and supportive team culture
- Competitive compensation and benefits package