Data Engineer | Sydney, NSWWe 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.Must Have SkillsAWS Cloud ServicesPython & PySparkApache Airflow (MWAA)SQLAmazon RedshiftAWS SageMaker Unified StudioAWS Kinesis / Kafka (Real‐Time Streaming)Key ResponsibilitiesDesign and develop scalable batch and real‐time data ingestion frameworks.Build and optimize data pipelines using AWS services and up-to-date 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 ExperienceStrong 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