BigData Cloud Engineer

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 5,000 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 Big Data Cloud Engineer in our Enterprise Data Analytics & Enablement , you’ll play a key role for leading the development and maintenance of Spark-based applications on our on-prem Hadoop platform. This position plays a crucial role in assisting with the migration of our on-prem Hadoop platform to the cloud, involving activities such as re-platform and reengineering.

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.

Role Type:Permanent
Role Location:Full Time
 

What will your day look like?

• Build, test and support a secure, robust and scalable Data Ecosystem on the Enterprise Big Data (EBD) 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?

To grow and be successful in this role, you will ideally bring the following:

• Programming experience in one or more of Java, Scala or Python

• Expertise in at least one commercial distribution of Hadoop

• Experience with Big Data Stack including Spark, Hive, YARN, Kafka, Hbase, Solr, Oozie, Control M etc.

• Good experience in automating manual activities.

• Strong Linux/Unix skills

• 1 year or more experience in Big Data implementation on cloud platforms such as GCP, AWS, or any other cloud platform.

• 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.

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.

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 7,500 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.

To find out more about working at ANZ visit https://www.anz.com/careers/. You can apply for this role by visiting ANZ Careers and searching for reference number [[81122]].

Job Posting End Date

18/11/2024 , 11.59pm, (Melbourne Australia)