Data Engineer-Medicare Mental Health Check In
VIC Group Office - Melbourne, Australia
AUD 96K-119K (estimate) Mid-level Full Time
Tasks
- Apply software engineering best practices CI CD automated testing version control Infrastructure as Code
- Build trusted data foundations for machine learning and advanced analytics
- Create documentation and engineering standards for enterprise data capability
- Design and maintain scalable data warehouse and lakehouse environments
- Design build and optimize enterprise scale ETL and ELT pipelines
- Develop cloud-native data solutions
- Develop high performing data models for analytics and reporting
- Develop vector database pipelines for RAG solutions
- Ensure data governance security quality and compliance
- Monitor troubleshoot and improve platform reliability scalability and performance
Perks/Benefits
- Competitive salary packaging benefits
- Hybrid working
- Inclusive and supportive culture
- Professional development and learning opportunities
Skills/Tech-stack
Automated testing | Azure | Azure Data | Azure Data Factory | CI/CD | Data Factory | Data Governance | Data Modeling | Data Warehousing | Databricks | DevOps | Dimensional Modeling | Docker | ELT | ETL | Generative AI | Git | Infrastructure as Code | Kubernetes | Lakehouse | MLOps | Machine Learning | Microsoft Fabric | Power BI | Python | RAG | Relational databases | Retrieval-Augmented Generation | SQL | SSAS | Scala | Vector Databases | Version control | “as-code”
Education
N/A
Roles
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