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Staff Data Engineer(Exp in AI/ML Mandate)

Visa

Bengaluru, INDIA, India Hybrid permanent

Posted: March 11, 2026

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Quick Summary

Design and implement scalable data engineering solutions for AI and ML projects, focusing on delivering high-quality results and meeting business objectives.

Job Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

The mission of Visa’s Internal Audit team is to enhance and protect Visa’s organizational value by providing risk-based and objective assurance, advice and insight on the state of Visa’s risk and control environment. The IA Analytics Audit Manager will work with audit teams to identify opportunities for use of data analytics throughout the audit lifecycle. S/he will then develop and deploy appropriate analytics solutions using Microsoft SQL Server products (SQL Server, SSIS, SSRS), Power BI, Tableau and other technologies (such as Robotic Process Automation tools) that fulfil the identified opportunities and meet the program’s strategic objectives. Responsibilities include:

• Use a ‘Data Tracing Matrix’ or other mechanisms to identify data sources used in audit procedures
• Review ‘Risk and Control’ matrices, data and process flow diagrams and audit test procedures to identify opportunities to use data analytics that help to expand risk coverage, increase efficiency and provide increased assurance
• Assist IA Director/Sr. Director in planning, development and execution of Microsoft SQL server, SSIS, SSRS, Power BI and Tableau based data analysis procedures to create sustainable and repeatable data analytics solutions.
• Monitor the ‘refresh’ activities of the data warehouse including periodic data refresh, troubleshooting errors, fixing bugs and implementing enhancements.
• Apply professional skepticism when assessing data sources and validate completeness and accuracy of data received.
• Assist in the documentation of functional, technical and source data requirements.
• Act as project leader for the IA data analytics program. Regularly inform manager, audit team and senior management of project status, issues, risks and results.
• Provide support on the existing data analytics environment.
• Demonstrate strong time and project management skills.
• Demonstrate knowledge of the data analysis process and experience with the application of data analytics in the assessment of IT and business processes.
• Stay abreast of company business strategies, Payment industry technology advances and the risk profile of assigned business areas to ensure relevancy of analytics approach.
• Lead the planning, development, and project execution on complex analytics implementations.
• Lead the execution of the specific technical areas of a project, supervising other team members and providing coaching where requested.
• Manage the internal goals and metrics of the IA analytics program and provide reports on their progress to senior leaders. 
• Maintain business relationships with appropriate levels of management to ensure that the analytics team is aware of changes in business activities and objectives, and these are used as inputs in the development of analytics solutions.
• Promote new ideas and new ways of executing projects and internal infrastructure enhancements.
• Demonstrate commitment to Visa’s and Internal Audit’s strategic vision, be a self-starter, and promote project ownership and responsibility for actions. Interact with Audit project team members in working towards Departmental goals.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications:

6 years of work experience with a Bachelor’s Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD degree.

4+ years of Internal Audit experience, preferably with a large financial institution or Big 4 assurance experience.

2 or more years of experience with Microsoft SQL Server family of products (SSMS, SSIS, SSRS) with extensive development experience using the MS T-SQL Query Language

2 or more years of experience with Tableau or a similar visual analysis technology

2 or more years of experience with python machine learning models

1 or more years of experience in design and application of advanced data analytic techniques

Preferred Qualifications:

Bachelor's or Master’s degree in computer science, management information systems or in STEM (Science, Technology, Engineering or Math).

6-10 years of Internal Audit experience with 2-3 years of IA Analytics experience.

2 or more years of experience with Microsoft SQL Server family of products (SSMS, SSIS, SSRS) with extensive development experience using the MS T-SQL Query Language

2 or more years of experience with Power BI, Tableau or a similar visual analysis technology

MCSA and MCSE certification in SQL Server desirable

Automation Anywhere or similar RPA tool certification preferable.

Tableau Desktop Certification desirable

Oracle database and PL/SQL development experience desirable

Strong time management skills.

Excellent written and oral communication skills.

Ability to travel domestically and internationally approximately 10 - 25%.

Work experience in a large financial institution or a matrix organization.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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