- 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 Airflow
- MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering
- Strong background in at least one of the following: distributed data processing, software engineering of data services, or data modelling
- Proficient in at least one major programming language (eg. Python, Scala,Pyspark)
- Proficient in engineering data pipelines using big data technologies (Spark, Trino, Airflow) on large scale data sets
- Proficient with Jupyter Notebook or similar.
- Conceptually familiar with cloud resources (S3, Kubernetes)
- Extensive experience working within cross-functional, agile or continuous delivery teams
- Experience with migration to Cloud Technologies will be an added advantage.
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Data Engineer - Bengaluru, India - Australia and New Zealand Banking Group Limited (ANZ)
Description
Data Engineer
Data Engineer
Req ID: Department: AR Strategic Delivery Australia Data Division: Australia Retail Location: BengaluruAbout the role
At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Data Engineer to join our Data Portfolio tribe. The Data Portfolio tribe sits within our Australia Retail and our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ's Australia Retail.
As a Data Engineer in the Data Portfolio tribe 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.
Role Location: Bangalore
Role Type: Full time Perm
Shift Schedule: Regular
Locaiton - Manyata
What will your day look like
What will you bring?
The role requires:
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 & 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% 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.
If you're looking for a big challenge, you've found it. From the moment you start with us, you belong to a collaborative team that's working towards a common goal: to improve the financial wellbeing..
Job Posting End Date
05/06/, 11.59pm, (Melbourne Australia)