Engenheiro DataOps Sênior (AWS)
Tasks
- Build and operate applications with DevOps practices
- Build data pipelines
- Design data infrastructure
- Develop data microservices
- Implement continuous delivery
- Integrate platform data with events
- Maintain data pipelines
- Monitor data pipelines
- Optimize data engineering workflows
- Orchestrate data workflows
- Support integrations with analytics solutions
- Troubleshoot data pipeline issues
- Use dimensional data modeling
- Use relational data modeling
Perks/Benefits
- Collaborative team
- Continuous learning
- Fully remote
- Inclusive workplace
- Occasional office visits
- Professional development
Skills/Tech-stack
AWS | Airflow | Amazon EKS | Amazon Redshift | Amazon S3 | Apache Hadoop | Apache Hive | Apache Spark | CI/CD | Data Marts | Data Modeling | Delta Lake | Dimensional Modeling | Docker | EC2 | ETL | Git | Infrastructure as Code | Kafka | Kubernetes | MapReduce | Parquet | Python | Relational modeling | Terraform | “as-code”
Education
N/A
Roles
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