We are looking for an experienced Data Engineer with robust expertise in AWS SageMaker Unified Studio, real-time and batch data ingestion, and scalable data engineering frameworks.
Key Responsibilities & Skills
- Strong hands-on experience with AWS SageMaker Unified Studio, including Discover, Build, Govern, JupyterLab, Spaces, Query Editor and ML Pipelines.
- Develop reusable and scalable batch and real-time data ingestion frameworks across databases, APIs, message queues and file systems.
- Expertise in low-latency real-time data streaming using AWS Kinesis, Apache Kafka or similar technologies.
- Strong programming skills in Python, Boto3, with experience in API integrations and performance optimisation.
- Hands-on experience with AWS services including Lambda, S3, DynamoDB, Glue, CloudWatch, SQS, SNS and API Gateway.
- Strong database experience across Amazon RDS, Redshift, MongoDB, Oracle, Teradata and Snowflake.
- Experience in data transformation, data warehousing, Data Lakes and Lakehouse architectures.
- Hands-on experience with AWS MWAA (Apache Airflow),
DAG development and workflow orchestration.
- Knowledge of monitoring, logging, alerting, real-time heartbeat exports, AWS IAM and networking.
- Experience with Git, CI/CD, Terraform/CloudFormation and Data Modelling (added advantage).
About Us
We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at
[email protected].
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Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.
📌 Data Engineer (Sydney)
🏢 Zone IT Solutions
📍 Sydney