Key skills
SQLAnalyticsSnowflakeRedshiftAirflowAWSGlueAthenaAgileCommunicationCollaboration
About this role
Mactores is a trusted leader in providing modern data platform solutions, enabling businesses to accelerate their value through automation. They are seeking a Senior AWS Data Engineer to develop and maintain data pipelines, create data models, and optimize data solutions using various AWS technologies.
Responsibilities:
- 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
- AWS Data Analytics Specialty Certification
- Experience with Agile development methodology