[Dados] Senior Data Engineer
Tasks
- Build data pipelines
- Create data catalogs and access controls
- Deploy containerized services on Kubernetes
- Design data lake and lakehouse architectures
- Develop streaming event ingestion
- Implement data governance and lineage
- Monitor and troubleshoot data platform issues
- Optimize query performance
- Provision cloud infrastructure with Terraform
Perks/Benefits
- Childcare support
- Dental insurance
- Education benefit
- Emotional support
- Health insurance
- Home office support
- Life insurance
- Meal voucher
- Medication subsidy
- Onsite massage
- Telemedicine
- Transportation allowance
Skills/Tech-stack
APIs | AWS Kinesis | AWS Lake | AWS Lake Formation | Access Control | Amazon Web Services | Apache Hudi | Apache Iceberg | Apache Kafka | Auditing | Avro | Cloud Computing | Cloud platform | Compression | Cost Management | Data Access Control | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Quality | Data access | Datahub | Delta Lake | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | High Performance | High Performance Ingestion | Infrastructure as Code | Kappa Architecture | Kubernetes | Lake Formation | Lakehouse | Lambda Architecture | Microservices | Microsoft Azure | Multi-cloud | Observability | OpenMetadata | Parquet | Partitioning | Python | Query Optimization | RabbitMQ | Storage cost management | Terraform | Unity Catalog | Web Services | “as-code”
Education
N/A
Roles
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