Data Quality 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 Quality Engineering

Location: Bangalore

Business & Team:

Technology Team 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.

CommBank is recognised as leading the industry in IT 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 Group Security (GS) team protects the Bank and our customers from cyber compromise, through proactive management of cyber security, privacy, and operational risk. Our team includes:

- Cyber Strategy & Performance

- Cyber Security Centre

- Cyber Protection & Design

- Cyber Delivery

- Cyber Data Engineering

- Identity & Access Technology

The Group Security Data Engineering team provides specialised 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 engineering, you will need to play a key role in supporting and executing the Groups data strategy.

We are looking for an experienced Data Quality Engineer to join our Group Security Team, which is part of the wider Cyber Security Engineering practice. In your role as Data Engineer, you will be required to setup Group Security Data Platform to ingests data (structured and unstructured) from organisations security telemetry data with additional data assets to provide security controls and services that are leveraged across the Group.

Roles & Responsibilities

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

CORE RESPONSIBILITIES:

As a Data Quality Engineer,

• Perform Static Test reviews of the Business Requirements/ User Stories documents and develop test conditions and test cases for phase level testing using appropriate tools and techniques.
• Execute testing and record test results in an appropriate system to identify and raise defects.
• Create comprehensive test data combinations to ensure the correct test coverage.
• Develop a continuous improvement mindset in team and project interactions.
• Develop Testing automation scripts to ease the manual testing efforts.
• Apply a risk management approach to achieve consistency and compliance with CBA testing standards.
• Collaborate with other disciplines to ensure that test outcomes are achieved in the most efficient way.
• Ensure test environments are managed to ensure high quality testing outcomes are achieved.
• Create Test Plan and schedule test phases to ensure that consensus is reached regarding all test effort required for delivery.
• Provide accurate and timely status reporting to ensure that test progress and issues are understood by all relevant Stakeholders.
• Responsible for enhancing and extending the automation library and framework.
• Experience with developing and executing automation suites.
• Experience with SQL, Tomcat, Linux, and Java.
• Excellent troubleshooting skills to root cause complex issues required.
• Passionate for finding bottlenecks and thresholds in existing code using automation tools.
• Understanding the requirements from concerned teams, preparing execution plans, devising automation strategy and automation of test cases.
• Strong understanding of test automation frameworks and architecture to provide automated solutions to complex problems.
• Identifying and selecting the automation test cases

Skills:

• Stakeholder Management - Contribute to meeting Team financial plan and simplifying how we work. Effective use of practice time (simplifying, optimising, automating, tools standardization, integration, decommissioning, innovation). Productive and effective participation of team members across Crews and Squads (contribution to achieving quarterly plans).
• Customers - Contribute to team being a trusted provider of data to the Group to achieve great outcomes for our customers and community.
• Risk Mindset -All CommBank employees are expected to proactively identify and understand, openly discuss, and act on current and future risks. Effectiveness with agreed risk reduction actions.
• Communication - expert oral and written communication skills with ability to lead discussions with a varied stakeholder across levels.
• Problem solving - advanced conceptual, analytical, and critical thinking skills to analyse complex information for key insights and present as meaningful information to senior management.
• Undertake any other tasks assigned by your manager that you have the capability to perform safely in line with relevant internal Bank policies and external regulatory requirements.

Essential Skills:-

• About 4-7 years in the capacity of Quality Engineering professional in a data intensive environment with:
• Able to test solutions that are fit for purpose, perform well with large data volume and complex data transformation rules.
• Understanding testing of ETL (Extract Transform Load) processes and practices
• SQL & Relational Databases
• Test driven development using BDD.
• Communication and presentation skills
• Programming skills with testing frameworks
• Ability to use Linux / Unix environments for development and testing.
• Shell Scripting experience
• Big data knowledge mandatory
• Abinitio product knowledge is a major value add.
• AWS (Amazon Web Services) knowledge preferred.

Education Qualification :-

• Bachelor's degree or Master's degree in Engineering in Computer Science/Information Technology