Manager - 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: Manager - Data Engineer
Location: Bengaluru, Manyata Tech Park

Business & Team: CDAO has a vision building a brighter future for all. Using data, analytics and AI. We're delivering on this by working hand-in-hand with our business colleagues to jointly solve problems with customer centricity and technical innovation, cultivating a world-class team of empowered people, and building technology solutions for the future.
Our team is composed of data and Analytics engineers, data scientists, and leaders, who bring in the right mix of skills. We also work very closely with our business and operations colleagues to support these services which are critical to the Australian and Global economy.

Impact & Contribution: The role involves working closely with multiple teams like marketing, partnership teams, CEE teams, technology and CDAO to deliver partnership offers. Passionate about customers and the opportunity to build trust and customer advocacy through data-driven insights.

Roles & Responsibilities:

• Conduct analysis to understand the E2E data flow of the product.
• Liaise with Product owner to ensure the prioritization is set.
• Undertake assessment of data risks and existing controls that mitigate these risks and generate data quality assessment.
• Engage with stakeholders to understand their business and use the data management framework to identify critical data elements (CDEs) and capture sufficient metadata and to identify rules for data quality measurement and develop thresholds.
• Undertake identification of detailed data flow & lineage from point of data capture to point of data consumptions.
• Independently manage the work stream and the relationship with stakeholders with escalation to Line Manager as necessary.
• Contribute to improvement of data literacy, data management and data quality.
• Provideguidancetojuniormembersoftheteam.

Essential Skills:

• 10-14 years of experience.
• Understanding of Data Warehouse/ETL concept
• Experience writing high quality, maintainable SQL, Stored procedures on large datasets - Specifically T-SQL. Experience in writing stored procedures in Snowflake
• Experience in ELT tool such as DBT.
• Knowledge in SSRS or equivalent reporting tool Python, Power BI - Good to have.
• A good understanding of data sourcing for analytical needs through multiple tactical and strategic data sources and supporting the data strategy of the bank. Strong analytical, numerate and logical reasoning skills with attention to detail.
• Implementing pipelines which deals with any format of data using CI/CD.
• Advanced communication and engagement skills, with a collaborative style. Ability to communicate insights and strategies both in writing and verbally
• Ability to articulate complex analytical requirements and findings in common non-technical terms.
• Flexible approach and able to deal with change and develop new ways of working to drive continuous improvement.
• Performance tuning and coding optimization techniques.
• Proven track record of building and leading a team of engineering professionals.

Education Qualification: Bachelor's degree/Master's degree in Engineering in Computer Science/Information Technology.