Senior Data Engineer

Organization

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Senior Data Engineer

Location: Manyata Tech Park, Bangalore (Hybrid)

Business & Team: The Commonwealth Bank is the leading financial institution in Australia and provides integrated financial services. This role sits within the Bankwest Technology division. Bankwest is a subsidiary of The Commonwealth Bank, and the Bankwest Technology division (BWT) is at the heart of our digital product strategy, and is responsible for the management and deployment of technology change across the organization. Our tech teams work at pace, with autonomy and local decision making, to deploy world-class solutions in the pursuit of our business strategy.

You are a senior engineering leader who's passionate about people and driving great technical outcomes.

We are a team of big thinkers, who are engineering the future of banking.

Together we can create industry leading digital solutions that impact millions of customers.

Impact &contribution:

• Empathetic and self-aware. You think and care deeply about how you might interact with your team, stakeholders and customers.
• A Mentor, harboring a passion to nurture, grow and influence those around you to think differently and always maintain a growth mindset.
• Innovative. You continually seek to improve the status quo for our customers. You inspire your team to do the same and remain resilient through change.
• Promoting quality and delivering at pace through the maximization of automation is one of the key focus area of the role.
• Risk Aware. You proactively identify and understand, openly discuss and act on current and future risks.

Roles & Responsibilities:

• Work with the team to understand our customers' core business objectives and deliver quality data centric solutions within committed timeframes
• Contribute to thought leadership enabling analytics teams to deliver world class data centric solutions and analytics by championing sustainable and re-useable data assets Design and build group data assets by integrating diverse data from internal and external sources
• Help to promote best in class coding standards and practices to ensure high quality and minimum risk
• Collaborating and communicating with business and delivery stakeholders and working without supervision
• Identify and escalate Technical Debt through simple processes to support effective planning and risk management.
• Risk Mindset – All Bankwest employees are expected to proactively identify and understand, openly discuss and act on current and future risks.
• Able to build solutions that are fit for purpose, perform well with large data volume and complex data transformation rules, and reliable to operate
• Understanding of the development and release cycle following Change Management processes
• Creative problem solver, with open thinking to generate and support new or better ways of doing things
• Strong capability and experience with modern engineering practices and techniques Experience with Agile working practices is beneficial
• Prior experience working in Financial Services industry would be highly regarded, but not essential.
• AWS (Amazon Web Services) Cloud (working experience with some of the core services EMR, EC2, S3, Auto-scaling, etc.) desirable.
• Experience with large migration programs and automating things to scale up migrations from on-prem to cloud. Hands on, Design and develop exceptionally reliable and scalable data pipelines and data platforms with comprehensive test coverage.
• Deliver data engineering solutions aligned to core concepts of data design, preparation, transformation, and load. Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud Lake houses to enable data predictions and models and reporting and visualization analysis via data integration tools and frameworks

Essential Skills:

• 8+ years of experience with good knowledge, working with the following languages
• ETL processes and practices
• Data structures and dimensional modelling
• SAS DI studio, Hadoop, Snowflake experience
• Unix and batch scheduling tools
• SQL – preferable Oracle
• TSO, ISPF, SDSF
• SQL, PL/SQL
• Strong experience in SAS / R / Python

AWS Data Engineer certification Experience working with the following Tools:

• Confluence and Jira
• Unit Testing
• Version Control systems such as Git/Endevor
• Monitoring tools such as Splunk, AppDynamics

Education Qualifications:

• Bachelor’s degree in engineering in Computer Science/Information Technology.