Data & Analytics Engineer
Melbourne CBD, Victoria 3000, Australia
AUD 90K-110K (estimate) Mid-level Full Time
Tasks
- Automate manual data processes
- Build data warehouses and data lakes
- Build scalable data pipelines
- Consult with clients to define data needs
- Create curated datasets and data marts
- Design data engineering solutions
- Develop and maintain data models
- Develop digital and analytics products
- Develop reporting and dashboard data
- Extract and store data from multiple sources
- Implement ETL pipelines
- Leverage AI and automation for data workflows
- Maintain high-quality datasets
- Oversee internal data technology stack
- Perform dataset analyses to identify trends
- Recommend data technology integrations and architecture
- Support ad hoc analysis and data modeling
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Azure | Cloud platform | DBT | Data Lakes | Data Marts | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Databricks | Digital analytics | ETL | GitHub | Google Cloud | Google Cloud Platform | Microsoft Fabric | Orchestration | Power BI | Python | Relational databases | SQL
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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