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docker aws sql python kafka📋 Description
- Architect and evolve our data platform from ETL warehouse to high-performance systems.
- Eliminate latency bottlenecks to enable real-time portal metrics.
- Partner with Analytics, Portal and Data Science teams to build data solutions.
- Ensure data is accessible, fast, and reliable at scale.
- Shape the future technical roadmap and ingestion pipelines.
🎯 Requirements
- 5+ years as Senior Data Engineer building production-grade data systems.
- Led migration from batch ETL to streaming real-time analytics.
- Optimize storage, partitioning and retrieval for fast queries.
- Engineering enablement and standards to improve team productivity.
- Streaming mastery with Flink and Kafka; event-driven architectures.
- AWS cloud proficiency; scalable, cost-efficient systems.
- Full-stack data skills: Python, Java/Scala, and expert SQL.
🎁 Benefits
- Equity/stock options and global ownership.
- Parental/family leave and support.
- Wellbeing support and confidential counselling.
- Birthday leave.
- Wellness leave.
- Annual company offsites to connect and celebrate.
- Dog-friendly HQ in Sydney.
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