Data Engineer

3 weeks ago

Bengaluru, India ANZ Full time
About the role

Data Engineer –Role Type – FTEJob Grade: Group 4.3At 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 Commercial tribe. The Australia Data tribe sits within our Australia Commercial division and our mission is to combine business & technology capabilities to enable analytics, reporting & data asset development by users across ANZ’s Australia Commercial division.The Data Engineer 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 Commercial Division, 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 Commercial Division, while linking into the wider Enterprise Analytics roadmap.

What will your day look like

Data pipelines: Engineer efficient, reliable and scalable data pipelines.

Market / Industry knowledge: Work on diverse data technologies.

Problem solving: Address and solve complex business issues using large amounts of data

Solution design: Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap.

Data modelling: Design data structures for data ingestion, integration and analytics layers on a variety of technologies.

Customer Focus & Team Player: Working in a cross skilled squad with people both from business and technology to build data assets.

Continuous improvement and change: Contribute to design patterns for on-premises and cloud.

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

Financial/ Business/ Commercial/ Market Acumen: Lead, Optimise, Design and execute business interventions (customers and operational) to uplift customer engagement and business performance.

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 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?

MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering.

6+ years’ experience with strong background in data processing and software engineering and can build high quality, scalable data products

Strong Software Engineering experience with proficiency in at least one high-level programming language (Python, Java, Scala)

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

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

Strong ability to translate data insights into practical business recommendation

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