Data Engineer

About the Role:

Role Title: Data Engineer

Role Location: Bangalore

Experience: 5 to 10 Years

At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by constantly looking for ways to improve our customers’ financial well being so they can achieve incredible things –be it buying their home, building a business or saving for things big or small.

As a Data Engineer 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 Strategic Delivery - Data Portfolio 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 end to end application delivery and support the uplift of data engineering capability in Strategic Delivery - Data Portfolio 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.

About You:

• MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering.
• Demonstrable experience (6+ years) and 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 two high-level programming language (Python, Java, Scala).
• Experience and proficiency in at least two high-volume data processing environments (Teradata, Starburst, PostgresSQL, Oracle, Cloudera, BigQuery or equivalent).
• Experience with container/orchestration tools Kubernetes.
• Experience in agile environments and development workflows using GIT or similar tools, and CI/CD tools.
• Strong ability to translate data insights into practical business recommendation.

Preferred Requirements:

• Experience with front & back-end frameworks like Java Springboot & Vue.JS.
• Experience on tools such as: Qliksense, Jupiter Notebook, Codefresh, Mflow/Seldon, Apache Spark etc.

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.

To find out more about working at ANZ or to view other opportunities visit www.anz.com/careers.

You may apply for this role by visiting https://careers.anz.com/job-invite/42964/.