Data Engineer
Adelaide, South Australia 5000, Australia
AUD 100K-126K (estimate) Mid-level Full Time
Tasks
- Build data transformation workflows
- Collaborate with cross-functional teams
- Design scalable data pipelines
- Develop and optimize ETL/ELT workflows
- Ensure best practices in data engineering
- Extract transform and integrate data using Python and SQL
- Optimize performance and scalability of data workflows
- Provide technical leadership and mentor junior engineers
- Translate client requirements into technical solutions
- Troubleshoot complex data issues
Perks/Benefits
- Annual training allowance
- Career progression pathways
- Corporate discounts
- Employee assistance program
- Employee recognition programs
- Mentoring
- Professional development
- Social events and networking opportunities
- Wellbeing initiatives
Skills/Tech-stack
Azure | Cloud Architecture | Data Ingestion | Data Modeling | Data integration | Data pipeline | Databricks | Databricks SQL | ELT | ETL | Medallion Architecture | Microsoft Fabric | Performance optimization | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Science
Roles
Regions
Countries
States
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