Data Platform Engineer
Melbourne, VIC, Australia
AUD 103K-125K (estimate) Mid-level Full Time
Tasks
- Build data models and architectures
- Build lake and lakehouse architectures
- Design scalable data pipelines
- Develop Batch and Streaming Pipelines
- Ensure security privacy and data governance
- Implement CI/CD
- Monitor and optimize performance cost and reliability
- Set up automated testing and observability
- Support analytics and AI/ML use cases
- Use infrastructure as code
Perks/Benefits
Skills/Tech-stack
AI Foundry | Automated testing | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure DevOps | Azure Resource | Azure Resource Manager | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Modeling | Data Warehousing | Databricks | Delta Lake | Feature Engineering | Infrastructure as Code | Lakehouse | MLflow | Medallion Architecture | Model Serving | Observability | PySpark | Python | Resource manager | SQL | Spark SQL | Synapse Analytics | Terraform | “as-code”
Education
Bachelor of Computer Science | Bachelor of Engineering | Bachelor of Information Systems | Bachelor of Science
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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