ABOUT INFOSYS:

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

SHORT DESCRIPTION:

We are looking for a professional who is passionate about technology and problem-solving using technology whether it is a simple issue that enables a user to work faster or a solution that improves efficiency/productivity for a big team, it gives me immense satisfaction. The candidate should be a keen learner and should keep oneself updated with technological improvements and new technologies. The candidate should enjoy finding new innovative methods of doing things and believe that change is the only constant.
The Data Test Lead will be responsible for leading the testing efforts for data-related projects, including data warehouses, ETL pipelines and analytics platforms. This role involves ensuring data quality, reliability, and accuracy by developing and executing comprehensive test strategies and plans. The ideal candidate will have strong experience in data testing, leadership capabilities, and a commitment to delivering high-quality data solutions
If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you.
Role: Lead Consultant
Location: Sydney
Salary: AUD 129311– 142018 (Annual Gross)
Please Note: The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes.

Roles and Responsibilities:

• Test Planning and Strategy:
• Develop and document test strategies, plans, and schedules for data testing projects.
• Collaborate with project managers, business analysts, and developers to understand requirements and define test cases.
• Test Execution:
• Perform data validation, data transformation, and reconciliation tests.
• Develop and execute automated and manual test cases to verify the quality of ETL processes, data integration, and reporting solutions.
• Validate data accuracy in source and target systems.
• Team Leadership:
• Manage and mentor a team of data testers, ensuring alignment with project goals.
• Assign tasks, review work, and provide feedback to maintain high testing standards.
• Automation and Tooling:
• Identify opportunities for test automation and implement tools/scripts to enhance testing efficiency.
• Leverage SQL, Python, or other scripting languages for test automation and data validation.
• Communication and Reporting:
• Provide regular status updates on testing progress, risks, and issues to stakeholders.
• Prepare detailed test reports and recommendations for improving data quality.

• Test Planning and Strategy:
• Develop and document test strategies, plans, and schedules for data testing projects.
• Collaborate with project managers, business analysts, and developers to understand requirements and define test cases.
• Test Execution:
• Perform data validation, data transformation, and reconciliation tests.
• Develop and execute automated and manual test cases to verify the quality of ETL processes, data integration, and reporting solutions.
• Validate data accuracy in source and target systems.
• Team Leadership:
• Manage and mentor a team of data testers, ensuring alignment with project goals.
• Assign tasks, review work, and provide feedback to maintain high testing standards.
• Automation and Tooling:
• Identify opportunities for test automation and implement tools/scripts to enhance testing efficiency.
• Leverage SQL, Python, or other scripting languages for test automation and data validation.
• Communication and Reporting:
• Provide regular status updates on testing progress, risks, and issues to stakeholders.
• Prepare detailed test reports and recommendations for improving data quality