Cloud Data Engineer

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About Us

At ANZ, we're leveraging the power of technology and data to achieve a single, unified goal: enhancing the financial wellbeing and sustainability of millions of customers. Our community of over 5,000 engineers plays a vital role in this mission, as technology is integral to every aspect of our business. From delivering innovative tools, apps, and services for our customers to constructing a future-ready bank, technology is the cornerstone of our operations.

About the Role

As a Cloud Data Engineer within our Enterprise Data Analytics & Enablement team, you’ll be instrumental in leading the development of a component-driven data mesh platform on Google Cloud Platform (GCP). This state-of-the-art platform offers numerous capabilities to ensure a seamless data product experience for our internal customers. This role is pivotal to ANZ's Data Strategy, particularly in developing various products and services within the central data mesh platform ecosystem.

Banking is evolving, and we're evolving with it, offering our people ample opportunities to try innovative things, learn, and grow. At ANZ, whatever your role, you’ll be building your future while helping to build ours.

What Will Your Day Look Like?

  • Design, build, test, and support a secure, robust, and scalable Central Data Mesh Platform on GCP.
  • Resolve ambiguous and complex engineering challenges.
  • Collaborate within and across teams, Tech Areas, and Domains.
  • Utilize tools and practices to build, verify, and deploy solutions efficiently, emphasizing Software Fundamentals.
  • Promote a culture of best practices concerning reviews, quality, and documentation within the Tribe and the Chapter.
  • Provide ongoing support for platforms, including problem and incident management.

What Will You Bring?

  • At least 2 years of experience in building modern applications using GCP services such as Cloud Build, Cloud Functions/Cloud Run, GKE, Logging, GCS, BigQuery, and IAM.
  • Proficiency in Python, with experience in a secondary language like Golang or Java.
  • Knowledgeable and hands-on experience with GKE/Kubernetes.
  • Strong focus on code and configuration management, CI/CD automation, and automated testing.
  • Experience with data warehouse solutions, preferably in a cloud environment.
  • Experience with ETL frameworks such as Apache Beam or Apache Spark.
  • Familiarity with cloud-native data engineering tools/services like Dataflow and Dataproc.
  • Experience in delivering solutions within a complex enterprise environment.
  • Ability to integrate Kafka for handling real-time data.
  • Experience migrating on-prem Hadoop data & pipelines to any cloud platform.
  • Proficiency in monitoring tools like Splunk and other cloud-native tools.
  • Senior Engineer candidates must have a minimum of 5 years of IT experience, particularly in design and build activities.

Why Join Us?

ANZ is where significant transformation happens as we work together to deliver banking and financial services across over 30 markets. With more than 7,500 team members, our Bengaluru office is ANZ's largest technology, data, and operations hub outside Australia. Operational for over 33 years, the Bengaluru center is crucial in executing the bank's strategy and making a global impact for millions of customers.

Our Bengaluru team not only leads the bank's transformation initiatives but also fosters a culture that makes ANZ a fantastic place to work. We're proud that 90 percent of our people feel they belong. We understand our team members require different things to excel in their roles, so we offer various flexible working options, including hybrid work where applicable. Our employees also enjoy a range of benefits, including access to health and wellbeing services.

We are committed to building a diverse workplace and welcome applications from everyone. Please discuss any adjustments you may require in our recruitment process or for the role. If you are a candidate with a disability or have access requirements, let us know how we can support you further.

To learn more about working at ANZ, visit . You can apply for this role by visiting ANZ Careers and searching for reference number XXXX.

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