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 modern 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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- Solid 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