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Cloud Data Engineer
2 months ago
About Us
At ANZ, we're leveraging innovative technologies and data-driven approaches to enhance the financial well-being and sustainability of our millions of customers.
Our community of over 5,000 engineers is pivotal in making this happen, as technology underpins every aspect of our business - from delivering tools, applications, and services for our customers, to building a bank for the future.
About the Role
As a Cloud Data Engineer in our Enterprise Data and Analytics Engineering (EDAE) tech area, you will play a crucial role in establishing our central data mesh platform within a federated architecture. You will utilize existing integration technologies to source data from divisional operational systems to their respective data nodes in a strategic, cost-effective, and scalable manner within a hybrid cloud landscape. Additionally, you may need to handle legacy data formats and integrate data from legacy systems such as mainframes.
We're transforming the banking industry, and we're changing with it, offering our people great opportunities to try new things, learn, and grow. Whatever your role at ANZ, you'll be building your future, while helping to build ours.
Key Responsibilities
- Design, build, test, and support secure, robust, and scalable data sourcing tools that are agnostic of sources and sinks/targets.
- Solve complex and ambiguous engineering problems.
- Collaborate effectively within and across teams, tech areas, and domains.
- Utilize tools and practices to build, verify, and deploy solutions efficiently, with a strong emphasis on software fundamentals.
- Foster a culture within the Tribe and Chapter that encourages best practices in reviews, quality, and documentation.
- Provide ongoing support for platforms as needed, including problem and incident management.
- Actively participate in platform release activities, including quality review and deployment of changes.
Requirements
To succeed in this role, you will ideally bring the following:
- A couple of years of experience building modern data pipelines / platforms using GCP services such as Cloud Build, Dataflow, Cloud Functions, Composer, Logging, GCS, BigQuery, and IAM, or equivalent experience in AWS.
- Primary proficiency in Python, with experience in a secondary language such as Golang or Java.
- Familiarity with Change Data Capture (CDC) technologies like Kafka Connect, Fivetran, and Debezium.
- Familiarity with cloud-native data engineering tools/services such as Dataflow and Dataproc.
- Hands-on experience with Docker and containerization technologies.
- Experience with data warehouse solutions, preferably in a cloud environment.
- Strong emphasis on code and configuration management, CI/CD automation, and automated testing.
- Experience delivering solutions in a complex enterprise environment.
We're a diverse bunch at ANZ, with different roles, locations, and areas of expertise. That's why we offer a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits, including access to health and wellbeing services and discounts on selected products and services from ANZ and more.
We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.
