Principal Software Engineer
at Commonwealth Bank
Sydney, New South Wales, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 06 May, 2025 | Not Specified | 06 Feb, 2025 | N/A | It,Partition,Business Rules,Metadata Management,Data Quality,Express | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
DO WORK THAT MATTERS
At Commonwealth Bank of Australia (CBA), we are committed to delivering world-class financial services to our customers.
SEE YOURSELF IN OUR TEAM
Our Risk Technology team plays a crucial role in ensuring the integrity and reliability of our data systems. We are looking for a highly skilled and experienced Principal Ab Initio Data Engineer to join our team and lead the development and maintenance of our data infrastructure.
REQUIRED AB INITIO SKILLS:
- Proficiency in Ab Initio Graphical Development Environment (GDE).
- Experience with Ab Initio Co>Operating System.
- Strong knowledge of Ab Initio components such as:
- Input Table
- Output Table
- Reformat
- Join
- Rollup
- Scan
- Sort
- Partition by Key
- Gather
- Merge
- Normalize
- Dedup
- Aggregate
- Lookup
- Experience with Ab Initio Continuous Flows and Express>It.
- Product capabilities - MDH , data quality, data catalogue, express>it, business rules, re-usable templates, etc
- Data management capabilities - reference data management, metadata management, knowledge graph , data quality, controls,
- Integration patterns - streaming, , api, event driven batch, data virtualisation
- Familiarity with Ab Initio Metadata Hub and Data Profiler.
Responsibilities:
- Lead the design, development, and implementation of complex data processing systems using Ab Initio.
- Architect scalable and high-performance data solutions to support business needs.
- Collaborate with cross-functional teams to gather and analyze requirements, and translate them into technical specifications.
- Ensure data quality, integrity, and security across all data processing activities.
- Mentor and guide junior data engineers, providing technical leadership and fostering a culture of continuous improvement.
- Troubleshoot and resolve data-related issues, ensuring minimal disruption to business operations.
- Stay up-to-date with the latest industry trends and technologies, and incorporate them into the data engineering practices.
- Develop and maintain comprehensive documentation for all data engineering processes and systems.
- Proficiency in Designing, deploying and managing scalable and secure AWS Cloud applications
- Knowledge in AWS Data Storage, Amazon Sagemaker and serverless computing(Lamda and API Gateway) is Add On
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
Proficient
1
Sydney NSW, Australia