ANZ is currently seeking qualified individuals for the position of Data Engineer in the bustling city of Bengaluru. The role requires candidates to have either an MS or BS degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience in Data Engineering. To be eligible for this position, candidates should have a minimum of 1 year of relevant experience. As a Data Engineer at ANZ, individuals will play a pivotal role in leveraging their educational background and expertise to contribute to the company’s data engineering initiatives. The job location in Bengaluru, a thriving hub of technology and innovation, enhances the appeal of this opportunity.
Company Name: Australia and New Zealand Banking Group
Job Role: Data Engineer
Education Required: MS or BS in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience in Data Engineering.
Experience Required: 1+ Years
Job Location: Bengaluru
Role and Responsibilities:
- 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.
Required Skills and Qualification:
- 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.
