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: Data Engineer

Location: Bangalore (Hybrid)

Business & Team

Enterprise Services (ES) is responsible for the world leading application of technology and operations across every aspect of CommBank, from innovative product platforms for our customers to essential tools within our business. We also use technology to drive efficient and timely processing, an essential component of great customer service.

The Business Banking Tech 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 BB Tech in executing to the Groups data strategy.

As an Engineer, you will be required to build strong working relationships with key business and stakeholders to improve outcomes, drive engineering standards across the group, identify engineering improvement opportunities to improve our status on risk, compliance, vulnerabilities and general health of our technical solutions, while improving our E2E engineering outcomes to drive better technical outcomes across BB Tech. You will adopt tools and templates used across analytics systems that underpin our data and analytics capabilities for the Group.

You will do this with the agility and passion of a startup; conscious that BB Tech supports every business unit and critical business processes across the bank, is custodian for personal and sensitive information on all of CBA’s customers and its subsidiaries and interfaces with and is key dependency for hundreds of other Tier 0 and Tier 1 systems across the group

Roles & Responsibilities

You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's Values and People Capabilities.

Core Responsibilities

• Understand our customers' core business objectives and build end-to-end data centric solutions to address them.
• Lead or participate in the definition, execution and communication of ETL strategy and technical solution.
• Development of data staging, architecture and consuming internal and external application interfaces
• Cooperate with business and operational users, other data management staff and infrastructure teams to ensure adherence to client and company guidelines, restrictions and requirements as well as industry standards.
• Participate in the full lifecycle of agile projects (ideation through implementation)
• Designs technical solutions and consumption patterns for business requirements with increasing complexity.
• Adhere to the Code of Conduct. The Code of Conduct sets the standards of behaviour, actions and decisions we expect from our people.
• Produce high quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks
• Influence and guide stakeholders to ensure that solutions are robust, secure and highly available
• Uplift the quality of technical solutions by applying industry best practice
• Role model continuous improvement mindset in team and project interactions
• Contributor to delivery 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

Essential Skills

• 4-8 years’ experience in design or development in Analytics and Data Warehousing.
• Experience in building end-to-end solutions with the Big data platform, Spark or scala programming.
• 5 years of Solid experience in ETL pipeline building with spark or sclala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL.
• Experience in Big data platform for ETL development with AWS cloud platform.
• Should have experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis.
• Experience in ETL Abinitio tools like GDE, Express-IT, Control center, Meta programming is a plus.
• 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
• 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 environments handling large volume of datasets with High SLAs
• Good knowledge in developing UNIX scripts, Oracle SQL/PL-SQL, and Autosys JIL Scripts.
• Experience in solution design would be good.
• Self-starter, autonomous working
• Strong analytical skills and Strong interpersonal & communication skills
• Be creative, innovative, pro-active in terms of finding solutions

Education Qualifications

Bachelor’s degree/Master’s degree in Engineering in Computer Science/Information Technology