Staff 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: Staff Data Engineer
Location: Bangalore

This role reports to a Chapter Lead (Engineering Manager) and is key member of the team responsible for all development work.

Impact & Contribution:
To ensure the Group achieves sustainable competitive advantage through data & analytics, you will need to play a key role in supporting the BB Tech in executing to the Groups data strategy.

As an Engineer, you will be required to build strong working relationships with key business and stakeholders to improve outcomes, drive engineering standards across the group, identify engineering improvement opportunities to improve our status on risk, compliance, vulnerabilities and general health of our technical solutions, while improving our E2E engineering outcomes to drive better technical outcomes across BB Tech. You will adopt tools and templates used across analytics systems that underpin our data and analytics capabilities for the Group.

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.

• Development of data staging, architecture and consuming internal and external application interfaces

• Cooperate 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)

• Designs technical solutions and consumption patterns for business requirements with increasing complexity.

• Adhere to the Code of Conduct. The Code of Conduct sets the standards of behavior, actions and decisions we expect from our people.

• Produce high quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks

• 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

Essential Skills:

• 7-11 years of experience in design or development in Analytics and Data Warehousing projects.
• Experience in designing and building end-to-end solutions with the Big data platform, Spark or scala programming.

• 8 years of Solid experience in ETL pipeline building with spark or scala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL.

• Experience in building data pipelines using AWS services in Cloud Ecosystem.

• Experience in Python and any other programming language is highly recommended.

• Experience in building AI/GenAI powered engineering applications is highly recommended.

• Experience in utilizing GenAI framework (Langchain, Llama, Hugging Face) and automation applications is highly desirable.

• Experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis.

• Experience in ETL Abinitio tools like GDE, Express-IT, Control center, Meta programming is a plus.

Education Qualification: Bachelor’s in computer science, B. Tech IT, Mathematics, Statistics or equivalent quantitative discipline or comparable industry experience.