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 organization, 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 - Manyata Tech Park

Business & Team: Bank west

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:

• 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 Snowflake and dbt cloud.
• 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.

• 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

Essential skills:

• 11+ 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 Snowflake and dbt cloud.
• 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.
• AWS Data Engineer certification.
• Must have hands-on experience in Development projects using Snowflake, dbt (cloud), AWS, SQL, ETL, Datawarehouse
• AWS (Amazon Web Services) Cloud (working experience with some of the core services EMR, EC2, S3, Auto-scaling, etc.) desirable.

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

Good to have Skills:

• Knowledge on Data Analysis, Banking Domain Experience, PySpark, Github Co-pilot, CI/CD.
• Experience in working within a Data Delivery Life Cycle framework & Agile Methodology.

Education/Qualifications

Bachelor’s degree or Master’s degree in engineering in Information Technology

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