AWS Data Engineer (Senior)
Tasks
- Build and maintain data pipeline orchestration using Airflow
- Collaborate with teams to understand data needs and design solutions
- Create data models and end user querying solutions
- Develop and maintain data pipelines using Amazon EMR or Amazon Glue
- Document and communicate technical solutions
- Troubleshoot and optimize data pipelines and data models
- Write and maintain PySpark and SQL ETL scripts
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Athena | Amazon EMR | Amazon Glue | Amazon Redshift | Apache Airflow | Data Modeling | Presto | PySpark | SQL | Snowflake
Education
Roles
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