Staff Data Engineer (AWS, Big Data)

Staff Data Engineer (AWS, Big Data)

Determined to stay ahead of the latest cloud, big data, and data warehouse technologies? We're one of the largest and most advanced data engineering teams in the country. Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers.

Do work that matters:

As a staff data engineer with expertise in software development/programming and a passion for building data-driven solutions, you're ahead of trends and work at the forefront of big data and data warehouse technologies. Which is why we're the perfect fit for you. Here, you'll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers' most complex data-centric problems.

See yourself in our team

To us, data is everything. It is what powers our cutting-edge features and it's the reason we can provide seamless experiences for millions of customers from app to branch.

The risk data analytics and insights team provides data delivery, insights, and software delivery outcomes to support risk management and other business units. We support the group's strategy of building tomorrow's bank today for our customers, through the work that we do work to create world-leading capabilities for analytics, information management, decisioning, and generative AI. We work across different platforms like AWS cloud, Cloudera Hadoop big data, Teradata group data warehouse, Ab Initio, reporting, advanced analytics, Gen AI, etc.

We are interested in hearing from people who:

• Possess commendable experience in consistently driving cost-effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals is essential.
• Provides thought leadership and contributes to the design of technical solutions and consumption patterns, including data security and data management.
• Are responsible for technical governance, implementation, risk management, and adoption for programs of work.
• Provide technical leadership and mentor other engineers in agile teams delivering project work or initiative.
• Have a natural drive to educate, communicate, and coordinate with different internal stakeholders and consultants.
• Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources aligning with the data mesh principles, patterns, guardrails, or architecture blueprints.

Technical skills

We use a broad range of tools, languages, and frameworks. We don't expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team.

• Experience in designing, building, and delivering enterprise-wide data ingestion, data integration, and data pipeline solutions using common programming language (Scala, Java, or Python) in a big data and data warehouse platform.
• Experience in building data solution in Hadoop platform, using Spark, MapReduce, Sqoop, Kafka, and various ETL frameworks for distributed data processing and storage (HDFS Parquet, ORC, JSON, Iceberg (Open Table formats) etc.).
• Experience in building data solution using AWS cloud technology (EMR, Glue, Iceberg, Kinesis, MSK/Kafka, Data Zone/SageMaker Unified Studio/AI, Event Bridge, MWAA, Redshift/PostgresSQL, DocumentDB/MongoDB, S3, Athena, Lambda, etc.).
• Ability to produce conceptual, logical, and physical data models using data modeling techniques such as Data Vault, Kimball, 3NF, etc.
• Knowledge of building robust data products, and enterprise semantic data models (ESDM)
• Strong Unix/Linux shell scripting and programming skills in Scala, Java, or Python.
• Proficient in SQL scripting, writing complex SQLs for building data pipelines.
• Experience with source control, DevSecOps, and CI/CD tooling with GitHub Actions.
• Experience with CloudFormation, GitOps, and serverless frameworks.
• Ability to fine-tune ETL jobs, query performance, and cost efficiencies.
• Familiarity with data warehousing and/or data mart build experience in Teradata is a plus.
• Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS Data Engineer.

Working with us:

Whether you're passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where we're driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities, and each other is part of our every day.

We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements, and job share to name a few. Talk to us about how these arrangements might work in the role you're interested in.

If this sounds like the role for you then we would love to hear from you. Apply today!