Data Platform Engineer
Tasks
- Apply observability for data systems
- Build lake and lakehouse architectures
- Collaborate with data analysts engineers scientists and AI teams
- Design scalable data pipelines
- Develop batch and streaming data pipelines
- Ensure data security, privacy, and governance
- Implement CI CD for data platform
- Manage data models for analytics and AI
- Monitor and optimize performance cost and reliability
- Perform automated testing
- Use infrastructure as code
Perks/Benefits
- Accredited family friendly workplace
- Additional inclusive leave
- Bonus paid time off
- Flexible work options
- Hybrid working
Skills/Tech-stack
AI Foundry | Automated testing | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Modeling | Data Privacy | Data Security | Data Warehousing | Databricks | Delta Lake | Feature Engineering | Infrastructure as Code | Lakehouse | MLflow | Medallion Architecture | Model Serving | Observability | PySpark | Python | SQL | Spark SQL | Synapse Analytics | Terraform | “as-code”
Education
Bachelor of Computer Science | Bachelor of Engineering | Bachelor of Engineering Technology | Bachelor of Information Systems | Bachelor of Science
Roles
Data Platform | Data Platform Engineer | Engineer | Platform Engineer
Regions
Countries
States
Cities
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