Data Engineer
Indexed description
Employment: Permanent Role
Experience: 7+ years
Location: Sydney, Australia - Hybrid
Eligibility: Candidates must have the right to work in Australia (Citizen, PR, Valid Visa holders).
Required Skills:
- AWS, Python, PySpark, SQL
- Apache Airflow (MWAA)
- Amazon Redshift
- AWS SageMaker Unified Studio
- AWS Kinesis/Kafka
- ETL & Data Pipelines
- Data Warehousing/Lakehouse
- RDS, DynamoDB, MongoDB
- Git, CI/CD, Terraform (preferred)
Key Experience:
- Building batch & real-time data ingestion pipelines
- Streaming data with Kinesis/Kafka
- Developing scalable ETL solutions
- Working with relational & NoSQL databases
- Data warehouse/lakehouse implementation
- Data modeling (good to have)
If interested, please send the CV to [email protected]
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