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



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