Data Engineer
1 week ago
Data Engineer
Data Engineer
Req ID: Department: AR Strategic Delivery Australia Data Division: Australia Retail Location: BangaloreAbout 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 Data Engineer in the Data Portfolio you will be responsible for designing and creating data processing solutions that enable value from analytic models to drive rapid decision making.
A key element of this is driving the data engineering agenda within the Tribe, ensuring delivery of best practice end-to-end data engineering respecting ANZ architecture standards. You will challenge inefficient engineering practise in ANZ and influence change in your field to drive better business outcomes. To this end, in the role you will implement smart and relevant data engineering to drive E2E application delivery and support the uplift of data engineering capability in Tribe, while linking into the wider Enterprise Analytics roadmap.
Who are you?
A team player The customer's biggest fan Comfortable being uncomfortable Continuous improvement junkie Committed to your own and other's growth A problem solver Risk savvyBanking 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?
A day in the life of a Data Engineer
Engineer efficient, reliable, and scalable data pipelines Working in a cross skilled squad with people both from business and technology to build intuitive data products Work on diverse data technologies such as Spark, Trino and AirflowWhat will you bring?
To grow and be successful in this role, you will ideally bring the following:
MS or BS in Computer Science, Engineering, Mathematics, Statistics, or 2-3 years of practical experience in Data Engineering. Proficiency in at least one major programming language (e.g., Python, Scala, Pyspark). Comfortable with complex SQL Background in distributed data processing, software engineering of data services, or data modeling. Familiar with working within cross-functional, agile, or continuous delivery teams. Conceptually familiar with cloud resources such as S3 and Kubernetes. Experience with migration to Cloud Technologies will be an added advantage. Familiar with engineering data pipelines using big data technologies on large-scale datasets (e.g., Spark, Trino, Airflow).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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