Data Engineer (AWS, Redshift & Spark)
São Paulo JK, São Paulo, BR, 04543-011
BRL 20K-40K (estimate) Senior-level Full Time
Tasks
- Design data solutions in AWS
- Develop and implement ETL pipelines with AWS Glue
- Develop and maintain data models and schemas in Amazon Redshift
- Document data processes and architecture
- Monitor and troubleshoot data pipelines
- Optimize Apache Spark data processing workflows
Perks/Benefits
- Corporate university
- Dental insurance
- Educational benefits
- Food Voucher
- Health insurance
- Meal voucher
- PLR
- Transportation allowance
- Wellhub
Skills/Tech-stack
AWS | Amazon Redshift | Apache Spark | Data Warehousing | Database Management | Database Management Systems | ETL | Glue | Management systems | Python | SQL | Scala
Education
Roles
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