Staff Engineer - Data And Aws Cloud

CommBank

Sydney, New South Wales, Australia
Hybrid
Aws services (s3, rds, redshift, glue, lambda, sagemaker)
Python, sql, etl development
Big data processing and analytics
Design and deliver integrated data platforms providing a single source of truth for timely and accurate data

Job Summary

  • Design and deliver integrated data platforms providing a single source of truth for timely and accurate data.
  • Build and optimise enterprise-wide data ingestion, transformation, and integration pipelines for Cloud-based, Big Data, and Data Warehouse platforms.
  • Coach and mentor junior engineers, uplift software development practices, and lead cross-functional collaboration.

Matching Summary

Design and deliver integrated data platforms providing a single source of truth for timely and accurate data.

Skills & Requirements

Must-have

  • AWS services (S3, RDS, Redshift, Glue, Lambda, SageMaker)
  • Python, SQL, ETL development
  • Big Data processing and analytics
  • Data ingestion, transformation, integration
  • CI/CD pipelines, secure coding practices
  • Data governance, security, and management

Nice-to-have

  • AI-driven solutions within data pipelines
  • Agentic AI systems for automation
  • Intelligent debugging and optimization
  • Data Vault 2.0 architecture

Key Requirements

  • Proven experience building Big Data pipelines using AWS Stack
  • Strong background designing and delivering robust data solutions
  • Familiarity with full software development lifecycle
  • Experience handling large-scale data processing
  • Knowledge of data profiling and numerical statistics
  • Ability to enforce code quality through peer programming and reviews
  • AWS Associate or Professional certifications (preferred)

Work Rights

Not specified

Tailored Resume

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