Cloud Data Engineer
3 weeks ago
About Us
At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
Our community of over 5, engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future.
About the Role
As a Cloud Data Engineer in our Enterprise Data Analytics & Enablement , you’ll play a key role in leading the development of a components-related data mesh platform within a GCP environment. This platform is designed with numerous capabilities to deliver a seamless data product experience to internal customers. This position plays a crucial role in ANZ's Data Strategy, focusing on the development of various products and services within the central data mesh platform ecosystem.
Banking is changing and we’re changing with it, giving 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.
What will your day look like?
Low level Design, build, test and support a secure, robust and scalable Central Data Mesh Platform on Google Cloud Platform
Solving ambiguous and complex engineering problems
Work collaboratively within and across teams, Tech Areas and Domains
Utilise tools and practices to build, verify and deploy solutions in the most efficient ways, we place a high emphasis on Software Fundamentals
Implements a culture within the Tribe and the Chapter, encouraging best practices around reviews, quality, and documentation.
Provide ongoing support for platforms as required e.g. problem and incident management.
What will you bring?
2 years of experience building modern applications using GCP services such as Cloud Build, Cloud Functions/Cloud Run, GKE, Logging, GCS, BigQuery, and IAM.
Primary proficiency in Python, with experience in a secondary language such as Golang or Java.
Fair knowledge and hands-on experience with GKE/Kubernetes.
Strong emphasis 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 like Apache Beam or Apache Spark.
Familiarity with cloud-native data engineering tools/services such as Dataflow and Dataproc.
Experience working and delivering solutions in a complex enterprise environment.
Ability to integrate Kafka to handle real-time data.
Experience in migration of on-prem Hadoop data & pipelines to any cloud platform.
Proficiency in monitoring tools like Splunk and other cloud-native tools.
Candidates for Senior Engineer level must have a minimum of 5 years of IT experience, specifically in design and build activities
So why join us?
ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7, people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong.
We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.
We want to continue building a diverse workplace and welcome applications from everyone. Please 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 requirements, let us know how we can provide you with additional support.
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