Data Engineer
South Melbourne, Victoria
AUD 142K-175K (estimate) Senior-level Full Time
Tasks
- Apply software engineering best practices
- Build scalable data models
- Contribute to experiments with AI and LLMs
- Design and maintain ETL/ELT pipelines
- Develop and refine machine learning models
- Develop machine learning data features and inputs
- Ensure data quality, security, and documentation
- Implement MLOps pipelines for deployment and monitoring
- Integrate internal APIs and third party tools for data ingestion
- Write and optimize SQL for analytics and training data
Perks/Benefits
- Career development opportunities
- Community volunteering
- Company events
- Complimentary membership
- Employee discounts
- Hackathons
- Health and wellness program
- Learning and development
- Learning budget
- Lunch and learns
- Team member referral program
Skills/Tech-stack
APIs | AWS Glue | Airflow | BigQuery | CI/CD | Cloud platform | DBT | Databricks | Docker | ELT | ETL | GCP | Git | Google Cloud | Google Cloud Platform | Kafka | Kinesis | Learning models | Looker | MLOps | Machine Learning | Machine Learning Models | Python | SQL | SageMaker | Snowflake | Tableau | Vertex AI
Education
N/A
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