Staff / Lead Data Engineer (AWS Cloud)
AUD 130K-138K (estimate) Senior-level Full Time
Tasks
- Build data ingestion pipelines
- Build data integration and visualization
- Build data transformation pipelines
- Coach junior engineers
- Deliver data lake solutions
- Deliver data warehouse solutions
- Design data platforms
- Develop ETL processes
- Implement data profiling
- Integrate data systems
- Manage automated pipeline releases
- Monitor data quality
- Perform code review
- Process large scale data
- Support DevSecOps practices
Perks/Benefits
Skills/Tech-stack
AI Model Inference | AI Model Training | AI model | AWS | AWS Glue | AWS Lambda | Ab Initio | Amazon Bedrock | Amazon Kendra | Amazon Neptune | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon SageMaker | Data Engineering | Data Ingestion | Data Lake | Data Quality | Data Transformation | Data Vault | Data Vault 2.0 | Data Warehouse | Data profiling | DevSecOps | Development Lifecycle | ETL | Machine Learning | Model Inference | Model Training | Oracle | Python | SQL | Software Development Lifecycle | Software development
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Staff Data Engineer
Regions
Countries
States
Cities
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