Sr. Data Engineer

Visa is hiring a Sr. Data Engineer in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Sr. Data Engineer responsible for building data pipelines, architectures, and data-driven features while utilizing generative AI tools as daily assistants.

chatgptcopilotmicrosoft-copilot

data-engineeringetldata-pipelinespythonsql

About Us
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.

Job Description

Job Summary Sr. Data Engineers are responsible for collaborating with stakeholders, including product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical designs for components, identify systems, architectures, tools, and storage needs, and present technical solutions to peers. They stay current with market trends and industry dynamics, applying this knowledge to drive innovation and ensure the safety and security of product components. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities

Collaborate proactively with stakeholders to clarify requirements and identify key product stakeholders.
Review technical requirements, escalate potential design issues, and create component designs and documentation.
Implement code, apply coding patterns and best practices, and adhere to security requirements.
Participate in code reviews, apply feedback, and take ownership of data products or pipeline components.
Conduct unit testing, coding standards, and security scans; participate in user acceptance testing.
Build tools and simple automation processes for transforming, managing, accessing, deploying, and monitoring data processes.
Create queries to extract and compile raw data, implement orchestration techniques, and validate data quality.
Ensure adherence to data management principles, governance, and performance monitoring protocols.
Contribute to troubleshooting guidance and procedures for reviewing and fixing problems flagged by testing.
Address routine client requests requiring technical knowledge and support software upgrades and server patches for security remediation.

Qualifications

Basic Qualifications

2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.
Experience in collaborating with cross-functional teams to clarify requirements and define technical solutions.
Experience in designing and documenting technical components for data products or pipelines.
Experience in implementing code and applying coding standards and security requirements.
Experience in conducting unit testing and participating in user acceptance testing.
Experience in building automation tools for data processes.
Experience in creating queries and implementing data extraction and transformation techniques.
Experience in ensuring data quality and performance monitoring.
Experience in troubleshooting and resolving pipeline issues.
Experience in supporting software upgrades and security remediation.

Preferred Qualifications

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
Experience in presenting technical solutions and capabilities to peers.
Experience in staying current with market trends and applying industry knowledge to innovation.
Experience in participating in code reviews and mentoring peers.
Experience in addressing client requests requiring technical knowledge.

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.

How we rate this

Sr. Data Engineer at Visa rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Sr. Data Engineer is an open job at Visa.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in IN - Bengaluru, India.
The job was posted on October 7, 2026.
Seniority: senior.
Applications are handled by Visa. Apply on Visa

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringETLData PipelinesPythonSQLChatGPTCopilotMicrosoft Copilot

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, ETL, Data Pipelines, Python, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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