Data Engineer

Overview

Req ID: 92766
Department: AR Strategic Delivery Australia Data
Division: Australia Retail
Location: Bengaluru
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

Job Title: Senior Software Engineer, IND BLR, Grp 4.3

Job type: Permanent, 4.3

Job Location: Manyata Tech Park, Bengaluru

Team: Australia Retail Data Analytics

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 Capability tribe. The Data Capability tribe sits within Retail Data Portfolio.

Our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ’s Australia Retail Data Portfolio

As a Senior Data Engineer in the Data Capability tribe, you will be responsible for designing and creating data processing solutions that enable other data engineers and analytical engineers to develop analytic models to drive rapid decision making.

A key element of this is driving the engineering agenda within the Data Capability tribe, applying best practice in end-to-end delivery of data engineering tools, respecting ANZ architecture standards. You will challenge inefficient engineering practises and influence change in your field to drive better business outcomes.

In the role you will implement scalable data engineering tools and frameworks to shape data application delivery and uplift the engineering capability in the Retail Data Portfolio.

What will your day look like?

Design data structures for data ingestion, integration and analytics layers on a variety of technologies

Design software that enables the automation of data engineering practices to increase productivity

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

Contribute to design patterns for on-premises and cloud

Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources

What will you bring?

We are looking for a Software Engineer with experience in modern data technologies, having very strong hands-on experience and a demonstrated ability to handle fast moving day-to-day development workload.

7 + years’ experience in engineering with strong background in distributed data processing, software engineering of data services, or data modelling that results in the building of high quality, scalable data products.

Demonstrated strong experience in ETL and developing data pipelines using big data technologies (Spark, Trino, Airflow) on large scale data sets and proficient with complex SQL.

Software Engineering experience with proficiency in at least one major programming language Python (preferred), Java, Scala, PySpark, GO, Java

Experience and proficiency in at least one high-volume data processing environment (Cloudera, BigQuery, Trino/Presto or equivalent)

Demonstrate experience in developing high workload data applications on massively parallel process (MPP) architecture

Demonstrate strong experience in Python and test-driven development (TDD)

Solid understanding and hands on experience with CI/CD toolchains e.g. Codefresh/Argo CD, Docker/Kubernetes, Helm, Terraform, Artifactory

Deep understanding of modern data processing tools and frameworks e.g. Apache Spark, Flink, Kafka, Airflow and working with object storage

Familiar with data related cloud native technologies e.g. Redshift, S3, RDS, Simple Message Service (SMS), Sage Maker, MVAA.

Extensive experience working within cross-functional, agile or continuous delivery teams

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.

/. You can apply for this role by visiting ANZ Careers and searching for reference number 92766.

Job Posting End Date

, 11.59pm, (Melbourne Australia)