Senior Data Engineer
Richmond, Australia
AUD 155K-175K Senior-level Full Time Found 9d ago
Tasks
- Build and optimize streaming and CDC pipelines
- Build infrastructure as code and automate testing
- Design and evolve real-time data platform
- Design curated datasets and data quality frameworks
- Establish engineering standards and best practices
- Implement monitoring, alerting, and incident response
- Lead migration from legacy systems to Databricks Lakehouse
- Mentor data engineers and provide technical guidance
- Optimize costs and performance
Perks/Benefits
- Dabble Day Dividend
- Flexible working hours
- Paid annual leave
- Paid parental leave
- Performance bonus
- Sponsored flights
- Wellness support
Skills/Tech-stack
Data Engineering | Data Governance | Data Modeling | Data engineering languages | Databricks | Debezium | Delta Lake | Distributed Systems | Event time | Event-time processing | Exactly-once semantics | Kafka | Orchestration | Performance Tuning | Pulumi | SQL | Spark | Streaming Architecture | Terraform | Time processing | Troubleshooting distributed systems
Education
Roles
Language: en |
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