Job Location: Bangalore
About the role
Australia Data – Data Engineer 4.2
Role Location: Bangalore
Role Type: FTE, 4.2
Shift Schedule: Regular
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 Australia Data tribe. The Australia Data tribe sits within our Australia Retail & Commercial division and our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ’s Australia Retail & Commercial division.
As a Data Engineer in the Australia Data 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 Australia Data 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 Australia Data tribe, while linking in to the wider Enterprise Analytics roadmap.
What will your day look like
Design data structures for data ingestion, integration and analytics layers on a variety of technologies
Working in a cross skilled squad with people both from business and technology to build end to end features
Contribute to design patterns and solutions design and development
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?
MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering
Strong background in data processing, data engineering and can build high quality, scalable data products as as Data Engineer with good understanding of Data warehousing/modelling concepts.
Proficiency in at least one high-level programming languages like (Python, Spark, Scala)
9+ yrs overall experience and proficiency in at least one high-volume data processing environment, preferably Teradata. Knowledge on GCFR added advantage
Extensive experience working within cross-functional, agile or continuous delivery teams
Strong ability to translate data insights into practical business recommendations
Experience working with job scheduling and monitoring tools like ControlM.
Experience with CI/CD and version control tools like Git, Bamboo & Bit bucket desirable.
Working knowledge on Bigdata/Spark & Notebooks (e.g. Jupyter) is an added advantage.
So, why join us?
About ANZ
At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We’re just as focused on seeing our people thrive as well as our customers. We’ll give you every opportunity to develop your career.
We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.
A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.
ANZ recognises the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key inherent needs and requirements of each role, and candidates are selected based on their unique strengths and characteristics.
We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.
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Job Posting End Date
01 March 2022
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