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: Manyata Tech Park, Bangalore
Business & Team: Our Bankwest Technology division is at the heart of our digital product strategy and is responsible for the management and deployment of technology change across the organisation. 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’ll be joining our Bankwest Tech Team, a critical supporting function that allows teams to deliver rapidly whilst still aligning to a strategic roadmap. As a team of trusted internal consultants, you’ll provide the expertise, guidance and technology governance to delivery teams to plot a pragmatic path between today’s deliverables and our longer term enterprise objectives. You’ll provide input into roadmaps, best practice, standards and methodologies to help ensure high quality outcomes, and oversee implementation to ensure business objectives are met.
Since you bridge the gap between business problems and technology solutions, you’ll need to be equally comfortable engaging with senior stakeholders as with engineering teams, and excellent communication skills (in both directions) are a must. And often you’ll work across a range of different initiatives, so whilst you’re never short of a challenge, the ability to work independently and manage your own time is important
Impact & contribution: As a Staff Data Engineer you are:
- 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 areas of the role.
- Ownership, you take responsibility for the software design, engineering processes and quality standards of yours as well as your team members as you work in a collaborative environment.
Roles & responsibilities:
As a Staff Data Engineer, you -
- Design, build, run, and evolve tools, infrastructure, templates, and capabilities for the data science community and engineers to deliver business value.
- Automate infrastructure and environment management through code.
- Collaborate with product owners and platform engineers to design, build, and run platforms that enhance quality, velocity, and safety.
- Develop tools and frameworks to streamline the ML lifecycle, from data ingestion to model deployment and monitoring.
- Implement CI/CD pipelines to streamline ML model deployment and updates.
- Stay updated with the latest developments in ML, MLOps, LLMs, GPUs, and related concepts.
Skills & Experience:
- Expertise in AWS services (e.g., EC2, ECS, S3, Lambda, RDS, DynamoDB, IAM, VPC, Route 53, CloudWatch, EKS).
- Proficiency with AWS ML services like SageMaker, AWS Glue, Amazon EMR.
- Experience with NVIDIA GPUs and related frameworks, LLMs.
- Proficiency in automation and scripting (Bash, Python).
- Experience with infrastructure as code tools like AWS CloudFormation.
- Proficiency with version control systems like GitHub, GitHub Actions.
- Expertise in monitoring tools like Grafana, Prometheus.
- Experience with engineering tools like Artifactory, Synk, Docker.
- Excellent problem-solving skills and attention to detail.
Essential skills:
- 12+ years of experience in relevant field.
- Continuously improve the data products with best engineering solutions.
- Strategize, Design and Implement (hands on) highly reliable and scalable data pipelines and data platforms with comprehensive test coverage on AWS Cloud using AWS cloud native services – AWS SageMaker, Redshift etc.
- Implement CI/CD pipelines to streamline ML model deployment and updates.
- 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.
- RDBMS Experience on any prominent Database is required with strong SQL expertise.
Required skills:
- Strategic thinking, External perspective, Product delivery
- Working with distributed teams, Continuous delivery and Agile practices, People leadership, Building high performing teams
- Development, analysis or testing
Educational Qualification:
- Bachelor’s degree or Master’s degree in engineering in Information Technology.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
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