AWS Data Engineer - Apache Airflow ETL / AWS Glue ETL - Python Lambda PySpark ETL - Airflow / Glue ETL Data Engineer - WFH Hybrid - $1100 to $1226 p/d Initially till 30/06/2025 with prospect of renewal; $1100 to $1226 per day Negotiable; WFH Hybrid - 1 day in Parramatta office per week at present Brand-new Greenfield Project; Simultaneous high-profile Projects; End-User Organization; Brand-New Project; WFO WFH Hybrid Opportunities; This position is a brand-new opportunity on a greenfield project within one of largest NSW government organisations. You are a senior data engineer with in-depth knowledge of data orchestration on AWS platform and writing ETL processes using Python, Apache Airflow and/or Glue Pyspark / Lambda functions. You also have experience with NoSQL Databases such as MongoDB / Cassandra / Redis / Couchbase / DynamoDB. You have a detailed understanding of data modeling (conceptual, physical, logical) as well as data security. Essential skills (must be precisely demonstrated using bullet points under each position): Experience across AWS dedicated ETL platforms Apache Airflow and/or AWS Glue / AWS Redshift; Python / PySpark development / Lambda functions for ETL scripting; Experience with a NoSQL Database such as MongoDB; Experience across data modelling (conceptual, physical, logical); Experience across Data Orchestration, translating business rules into data models; Experience with Data Security and Data governance; Experience in building Data pipelines, data automation and data orchestration CI/CD; Desirable but not essential: Experience with infrastructure as code IaC; Experience with Graph Database products and Kafka framework; If you meet the above criteria you will need to Apply NOW in order to secure a place in the shortlist for the interviews. Best option is to apply using the application button. You can contact us on (02) 9687 1025 for a confidential discussion. However please ensure you have sent your resume prior to making contact. Please ensure all documents are sent in Microsoft word format.