Data Engineer | Sydney, NSW
We are looking for an experiencedData Engineer (9–14 Years)to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS.
Must Have Skills
AWS Cloud Services
Python & PySpark
Apache Airflow (MWAA)
SQL
Amazon Redshift
AWS SageMaker Unified Studio
AWS Kinesis / Kafka (Real‐Time Streaming)
Key Responsibilities
Design and develop scalable batch and real‐time data ingestion frameworks.
Build and optimize data pipelines using AWS services and modern data engineering practices.
Develop low‐latency streaming solutions using Kinesis, Kafka, or similar technologies.
Implement data transformations, orchestration workflows, and monitoring solutions.
Work with Data Warehouses, Data Lakes,



and Lakehouse architectures.
Collaborate with cross-functional teams to deliver robust and scalable data solutions.
Required Experience
Solid expertise in AWS, Python, PySpark, Airflow, and Redshift.
Hands‐on experience with SageMaker Unified Studio.
Experience with relational and NoSQL databases (Oracle, MongoDB, DynamoDB, Snowflake, Teradata, etc.).
Proven experience building real‐time and batch data pipelines.
Knowledge of CI/CD, Git, Infrastructure as Code (Terraform/CloudFormation).
Data Modelling experience is highly desirable.
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📌 Data Engineer-Nsw (New South Wales)
🏢 The HR Ally
📍 New South Wales