Python Developer with AWS, Glue, Airflow and PySpark

Job Description

Project description Support one of the top Australian banks as they seek to modernise their data and analytics platform. You will be working directly with IT and business stakeholders in Data and Platform team to implement banks data strategy to become the best AI bank of the world. Responsibilities We are looking for a Software Engineer with strong experience in designing, building, and maintaining production-grade software systems. The role focuses on automation, quality, and resilience across the software development lifecycle, with end-to-end ownership of features from design through deployment and monitoring. Key Responsibilities: Design and implement robust, scalable software solutions. Develop automation frameworks for performance, integration, security, and testing. Embed unit, integration, and contract tests into CI/CD pipelines (shift-left approach). Collaborate with teams to ensure testability, observability, and resilience. Drive quality strategy and establish engineering dashboards for delivery and production health. Mandatory Skills 4-7 years of hands-on programming and software development. Programming: Python Data & Processing: AWS Glue, PySpark, Spark. Workflow Orchestration: Airflow. Database & Querying: SQL, RDBMS (Teradata, Oracle). Cloud: AWS (cloud-native architectures). Automation & AI: Test automation frameworks, AI-assisted development. Additional: CI/CD tools (TeamCity, GitHub, Jenkins, Octopus), Linux environments, DevSecOps practices. Proven ability to design and build automation frameworks. Familiarity with observability tools and microservices architecture. Nice-to-Have Skills Markets domain knowledge.