Cloud Data Engineer
2 months ago
At ANZ, we're harnessing the power of technology and data to drive innovation and improve the financial wellbeing of our customers. Our community of engineers is at the forefront of this journey, leveraging cutting-edge solutions to build a bank for the future.
About the RoleAs a Cloud Data Engineer in our EDAE tech area, you'll play a critical role in establishing our central data mesh platform within a federated architecture. You'll design, build, and test secure, robust, and scalable sourcing tools that integrate data from divisional operational systems to their respective data nodes in a hybrid cloud landscape.
Key Responsibilities- Design and implement data pipelines using GCP services such as Cloud Build, Dataflow, and Cloud Functions.
- Collaborate with cross-functional teams to solve complex engineering problems and drive platform release activities.
- Utilize tools and practices to build, verify, and deploy solutions efficiently, with a strong emphasis on software fundamentals.
- Foster a culture of best practices in reviews, quality, and documentation within the Tribe and Chapter.
- 2+ years of experience building modern data pipelines and platforms using GCP services or equivalent experience in AWS.
- Primary proficiency in Python, with experience in a secondary language such as Golang or Java.
- Familiarity with CDC technologies like Kafka Connect, Fivetran, and Debezium.
- Familiarity with cloud-native data engineering tools/services such as Dataflow and Dataproc.
At ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career. We're committed to building a workplace that reflects the diversity of the communities we serve, and we welcome applications from everyone. If you're passionate about data engineering and want to be part of a dynamic team, we'd love to hear from you.
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