Data Engineer
Bengaluru, IN
ANZ Banking Group Limited
ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.About the role
Role Location – RMZ Ecoworld, Bangalore
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 Retail data analytics team.
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.
What will you bring?
-
MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering.
-
1+ experience in data processing and software engineering and can build high quality, scalable data products.
-
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.
-
Ability to translate data insights into practical business recommendation.
So, why join us?
There’s something special about being part of ANZ. From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers. And that’s big.
But it’s not just our customers who will feel your impact. You’ll feel it too. Because at ANZ, you’ll have the resources and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate to provide all our people:
-
Health and wellbeing programs
-
Discounts on selected products and services (from ANZ and beyond)
-
Flexible working arrangements, lifestyle leave and career breaks
You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to 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, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.careers.anz.com.
Job Posting End Date
15/02/2024, 11.59pm, (Melbourne Australia)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture BigQuery CI/CD Computer Science Data Analytics Data pipelines Engineering Git Java Kubernetes Mathematics Oracle Pipelines Python Scala Statistics Teradata
Perks/benefits: Career development Flex hours Health care
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Engineer II jobs
- Open Data Science Manager jobs
- Open Software Engineer jobs
- Open Senior Software Engineer jobs
- Open Research Scientist jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open BI Analyst jobs
- Open Sr Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Business Intelligence Engineer jobs
- Open Sr. Data Scientist jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Engineer III jobs
- Open Azure Data Engineer jobs
- Open Data Analyst II jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Product Data Analyst jobs
- Open Tableau-related jobs
- Open Data management-related jobs
- Open Excel-related jobs
- Open Power BI-related jobs
- Open APIs-related jobs
- Open Data quality-related jobs
- Open Deep Learning-related jobs
- Open LLMs-related jobs
- Open PyTorch-related jobs
- Open Data pipelines-related jobs
- Open Finance-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Generative AI-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Data visualization-related jobs
- Open Kubernetes-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Docker-related jobs
- Open Business Intelligence-related jobs
- Open Data governance-related jobs
- Open Git-related jobs
- Open Databricks-related jobs