Location:
Sydney, NSW
Experience:
9–14 Years
Employment Type:
Full-Time
Eligibility:
Australian Citizens & Permanent Residents (PR) Only
Sponsorship:
Not Available
About the Role
We are seeking an experienced
Data Engineer
with expertise in
AWS SageMaker Unified Studio
to design and build scalable data platforms, real-time and batch data pipelines, and enterprise data solutions on AWS.
Key Responsibilities
Design and develop batch and real-time data ingestion frameworks.
Build ETL/ELT pipelines using
Python, PySpark, SQL, and Apache Airflow (MWAA)
.
Develop streaming solutions using
AWS Kinesis, Kafka
, or similar technologies.
Build and manage solutions in
AWS SageMaker Unified Studio
, including ML pipelines, data processing, governance, and project setup.
Develop data solutions using
Amazon Redshift, S3, Glue, Lambda, and DynamoDB
.
Manage Airflow workflows, monitoring, logging, and performance optimisation.
Collaborate with Data Engineers, Data Scientists, and Architects to deliver scalable AWS data solutions.
Required Skills




9–14 years of Data Engineering experience.
Strong hands-on experience with:
AWS SageMaker Unified Studio
AWS
Python
PySpark
SQL
Apache Airflow (MWAA)
Amazon Redshift
Experience with
AWS Kinesis
, Apache Kafka, or similar streaming platforms.
Solid knowledge of AWS services including
S3, Glue, Lambda, DynamoDB, CloudWatch, SQS, SNS, API Gateway, and IAM
.
Experience with relational and NoSQL databases (Oracle, RDS, Redshift, MongoDB, Snowflake, DynamoDB).
Good understanding of
Data Warehousing
,
Data Lakehouse
, Git, CI/CD, Docker, and Infrastructure as Code (Terraform/CloudFormation).
Preferred Skills
Experience with Machine Learning pipelines, MLOps, and Generative AI in SageMaker.
Data Modelling experience.
Enterprise-scale AWS implementation experience.
Eligibility
Australian Citizens & Permanent Residents (PR) only.
Candidates must be currently residing in Australia.
No visa sponsorship is available.
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📌 Data Engineer – Aws Sagemaker Unified Studio-Australia Only (Melbourne)
🏢 The HR Ally
📍 Melbourne