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**:Bangalore-Manyata Tech Park

**Business & Team**:
CommBank is recognized as leading the industry in IT (Information Technology) and operations with its world-class platforms and processes, agile IT infrastructure, and innovation in everything from payments to internet banking and mobile apps.

The Chief Data Analytics Office (CDAO) provides specialized data services and platforms for the CommBank group & is accountable for developing Group’s data strategy, data policy & standards, governance and set requirements for data enablers/tools. The team is also accountable to facilitate a community of practitioners to share best practice and build data talent and capabilities.

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

You will be accountable for building advanced data capabilities for CDAO projects/programs. A key aspect of the role is to utilize knowledge of data engineering principles and practices, coupled with specific data technology and domain knowledge, to design and deliver solutions for business needs and drive strong software and systems engineering thinking.

This will include sound knowledge of the Groups data strategy, architecture and technology roadmap, aligning CDO business needs.

**Roles & Responsibilities**:
You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's Values and People Capabilities.
- Design and develop highly reliable and scalable data pipelines and data platforms with comprehensive test coverage.
- Collaborate with stakeholders to analyse and translate requirements to technical implementation.
- Identify and drive opportunities for continuous improvement within the team and in delivery of products.
- Provide mentoring and technical assistance to other members of the team, including more junior Data Engineers.
- Provide technical governance of product delivery to ensure successful delivery and adoption.
- 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 lakehouses to enable data predictions and models, reporting and visualisation analysis via data integration tools and frameworks.
- Contribute to domain planning, providing guidance to ensure that technical deliveries are aligned to engineering direction and strategy.

Risk
- Operate within the CBA Group risk appetite and effectively manage strategic and operational risk related to data.
- Adhere to the **Code of Conduct **. The Code of Conduct sets the standards of behaviour, actions and decisions we expect from our people.

**Essential Skills**:

- **Stakeholder management **- advanced ability and extensive experience managing large and varied stakeholder groups across levels, and influencing group-wide change.
- **Leadership **- advanced ability influencing varied stakeholder groups, and inspiring large, diverse group of data and analytics professionals around a vision and a unified way to consume data.
- **Communication **- expert oral and written communication skills with ability to lead discussions with a varied stakeholder across levels
- **Problem solving **- advanced conceptual, analytical and problem-solving skills to analyze complex information for key insights and present as meaningful information to senior management
- **Risk Mindset **-All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks.

Experience
- 7-10 years’ experience in design, architecture or development in Analytics and Data Warehousing.
- Experience leading Data Capability building projects. Experience in driving decisions across groups of stakeholders.
- Extensive experience with Teradata data warehouses and Cloudera Hadoop. Proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau, OBIEE, SAS, Apache Spark, Hive.
- Nice to have Cloud environment experience and Snowflake.
- Knowledge on Data Analysis
- Analytics & BI Architecture appreciation and broad experience across all technology disciplines.
- Experience in working within a Data Delivery Life Cycle framework & Agile Methodology.
- Extensive experience in large enterprise