Required Skills & Experience
- 8+ years' experience in Database and Data Engineering.
- Solid expertise in SQL and database performance tuning.
- Experience with AWS data services including:
- Amazon Aurora PostgreSQL
- AWS Glue
- Amazon Redshift
- AWS Quick
- AWS DMS and Schema Conversion Tool (desirable)
- Strong SQL and data modelling skills.
- Proficiency in Python and/or PySpark
- Experience building ETL/ELT pipelines and cloud-native data solutions.
- Familiarity with Git, CI/CD, DevOps, and Agile delivery practices.
- Understanding of data governance, security, and operational support.
📌 Data Engineer (Sydney)
🏢 DWS
📍 Sydney