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: Staff Data Engineer

Location: Bangalore

Business & Team:

Business Banking Technology executes the Technology Strategy across Business Banking through the world-leading application of technology and operations. We partner closely with the business to solve real-world problems using data and AI-driven insights, resilient platforms and modern engineering practices, delivering customer value at speed and scale.

You'll join a growing engineering organisation responsible for critical capabilities including:

• Customer and colleague digital experiences
• CRM and banker platform capabilities
• Data-driven insights and decisioning services
• AI-enabled customer engagement experiences
• Shared platform services supporting Business Banking journeys

Impact & Contribution:

Apply core concepts, technology, and domain expertise to effectively develop software solutions to meet business needs. You will contribute to the financial well-being of our customers by ensuring that our team builds the best solutions possible using modern development practices that ensure both functional and non-functional needs are met. If you have a history of building a culture of empowerment and know what it takes to be a force multiplier within a large organization then you’re the kind of person, we are looking for.

Roles & Responsibilities:

• Understand our customers' core business objectives and build end-to-end data-centric solutions to address them.
• Lead or participate in the definition, execution and communication of ETL strategy and technical solution.
• Collaborate with business and operational users, other data management staff and infrastructure teams to ensure adherence to client and company guidelines, restrictions and requirements as well as industry standards.
• Participate in the full lifecycle of agile projects (ideation through implementation)
• Design technical solutions and consumption patterns for business requirements, leveraging approved delivery frameworks
• Adhere to the Code of Conduct. The Code of Conduct sets the standards of behaviour, actions and decisions we expect from our people.
• Influence and guide stakeholders to ensure that solutions are robust, secure and highly available
• Uplift the quality of technical solutions by applying industry best practice
• Contributor to delivery planning, providing guidance to ensure that technical deliveries are aligned to engineering direction and strategy.
• Role model continuous improvement mindset in team and project interactions
• Demonstrate strong mentorship capabilities by actively coaching and guiding team members, fostering their growth and enabling continuous learning and development.

Essential Skills:

• 10+ Experience working with Snowflake.
• Experience using AI tools such as Claude/Roo/Cline
• Hands-on experience in ETL pipeline building with spark or scala programming framework and knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL, Cloudera Hadoop (Apache Spark, Hive) and Autosys JIL.
• Proficiency in AWS cloud services, including EC2, S3, Lambda and Cloud Watch
• Having hands-on experience with Teradata data warehouses and proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau
• Python-based framework development
• Strong interpersonal & communication skills.
• Experience with Oracle SQL database performance tuning, and relational model analysis.
• Experience in working within a Data Delivery Life Cycle framework & Agile Methodology
• Self-starter, autonomous working
• Problem solving – advanced conceptual, analytical and problem-solving skills to analyse complex information for key insights and present as meaningful information to senior management.