HCLTech partners with ANZ Bank which is one of the BIG4 Australia-based banks to build engineering teams for cutting-edge digital transformation projects.

Are you ready to take the role in shaping the future of banking? We are pioneers in revolutionizing the banking experience. As we embark on an ambitious digital transformation journey of our client ANZ Bank – an Australia's top global banks, we are looking for visionary experts/engineers to join a dynamic squad of skilled engineers, shaping the future of banking through cutting-edge technologies.

• Work in hybrid mode
• Be part of a transformational journey that is redefining the banking landscape and driving innovation that impacts millions of users’ financial well-being
• Work in a vibrant, inclusive and diverse environment that values your unique perspectives
• Collaborate with top-tier professionals, learn and grow alongside the best in the industry
• Competitive compensation package including benefits that support your well-being and professional development

Detail Benefits:

• Attractive package including base salary + 13th month salary + Performance Bonus.
• Insurance based on full base salary and Medical Benefit (Bao Viet Insurance Package) for Employee and Family
• 100% of full salary and benefits as an official employee from the 1st day of working
• 100% salary during probation time
• Working in a fast paced, flexible, and multinational working environment with opportunity to travel onsite (in 49 countries)
• Internal Training (Technical & Functional & English)
• Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries

Roles and Responsibilities:

HCLTech partners with ANZ Bank which is one of the BIG4 Australia-based banks to build engineering teams for cutting-edge digital transformation projects.

Our purpose is to shape a world where people and communities thrive. We are making this happen by improving our customers’ financial wellbeing so they can achieve incredible things – be it buying a home, building a business or saving for things big or small. We are looking for people who are passionate about transformational change and help us redefine banking for the future.

Be a part of building the ideal data ecosystem from scratch. Ensuring the right data is generated from all applications and sourced at the right velocity with the complete depth and breadth to ensure complete coverage and reuse. This is your opportunity to build new, not fix old.  

What will your day look like?

• Build and run the data processing pipeline on Google Cloud Platform (GCP)
• Work with Implementation teams from concept to operations to provide deep technical expertise for successfully deploying large scale data solutions in the enterprise and use modern data/ analytics technologies on GCP
• Design pipelines and architectures for data processing
• Implement methods for DevOps automation of all parts of the built data pipelines to deploy from development to production
• Formulate business problems as technical data problems while ensuring that key business drivers are captured in collaboration with product management
• Extract, load, transform, clean and validate data
• Support and debug data pipelines

Experience/Exposure:

• Strong Data Engineer experience in one of following clouds: GCP/ AWS/ Azure (with at least 2 years working on cloud)
• Proven successful design and implementation of large and complex data solutions (Data
Warehouse, Data Lake) using various architectural patterns such as Microservices
• Experience with Advanced SQL and Python skills
• Experience in using DevOps while working Cloud data platforms like using Terraform for
Infrastructure as Code (IaC), GitOps, using Docker Kubernetes
• Good education background of Information Technology (IT) and Information and Communication Technology (ICT)
• Good command of English verbal communication
• If you have work experience with Marketing domains, you will be preferred

Preferred Qualifications:

• University or College

Required Skills:

- Data warehouse, Data modeling, data catalog..
- Cloud AWS/GCP/Azure
- Experience with Advanced SQL and Python skills
- Terraform, Docker..