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Sr. Data Engineer - job 4 of 32

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Payments has become a very active/hot area in the last couple of years, creating a strong demand for innovation. This will be a very exciting area in the next 5 to 10 years. Not only is VISA a leader in the payment industry and has been for a long time, but it is also quickly transitioning into a technology company that is fostering an environment for applying the latest technology to solve exciting problems in this area.

 

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS automates the updates to data, models, and applications. Combined with strong AI governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

 

This position is for a Staff Data Engineer with solid development experience who will focus on creating new capabilities for AI as a Service while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams.  Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start.  You must be dedicated to filling product backlog and delivering production-ready code.  You must be willing to go beyond the routine and prepared to do a little bit of everything.

 

You will be an integral part of the development team, sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with knowledge of web application and web service development. The candidate will perform hands-on activities including design, documentation, development and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.

 

This position will be based in Bangalore, India. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

 

Essential Functions

  • Collaborate with project teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.

  • Drive technical standard and best practices, and continuously improve AI Platform engineering scalability. 

  • Architecture and design of AI Platform services including Machine Learning Engines, In Memory Computing Systems, Streaming Computing Systems, Distributed Data Systems and etc., in Golang, Java, and Python.

  • Coordinate the implementation among development teams to ensure system performance, security, scalability and availability.

  • Coaching and mentoring junior team members and evolving team talent pipeline.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

3 plus or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD) or 5 years of relevant work experience
• Experience working on distributed microservices systems.

• Development experience with Golang/Rustlang (alternatively a strong background in C/C++ or Java)

• Experience in real-time streaming systems (Spark/Flink/Kafka)

• Skilled with Docker & Kubernetes and hands on Ansible/CI CD pipelines

• Experience using and configuring operational tools such as Splunk, Humio, Prometheus & Grafana.

• Proven knowledge of successful design, architecture and development using Big Data Hadoop, J2EE and Spark with large data volumes and transaction systems

• Possesses a deep understanding of benefits/drawbacks of different integration patterns

• Ability to solve complex software development/design issues

• Ability to write clean, coherent code following established coding guidelines

• Strong interpersonal, facilitation, and effective communication skills (both written and verbal) and the ability to present complex ideas in a clear, concise way

• Experience developing as part of Agile/Scrum team is preferred

• Passionate about delivering zero defect code that meet or exceed the proposed defect SLA and have high sense of accountability for quality and timeliness of deliverables

• Ability to deliver on multiple projects and manage priorities based on changing directions

• Highly driven, resourceful and results oriented

• Demonstrated ability to lead and navigate through ambiguity

• Past experience in Payments knowledge is preferred

Additional Information

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.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Data Engineer , Visa

Are you a passionate developer looking to dive into the exciting world of payments and AI? Visa, the world leader in payments technology, is on the lookout for a Sr. Data Engineer to join our innovative team in Bangalore, India. As part of Visa AI as a Service, you'll work on cutting-edge technology to deliver AI and decision intelligence solutions that optimize business value. Your role will involve collaborating with project teams, data scientists, and developers to shape and implement data-driven solutions. With at least three years of experience in distributed microservices systems and a solid understanding of Golang, Java, or Python, you'll be instrumental in creating new capabilities while refining our development processes. This position is not just about writing code – you’ll also coach junior team members and drive technical standards to improve our engineering practices. Embrace the opportunity to learn and innovate in a dynamic work environment where your ideas can make a difference. If you’re ready to take on challenges, enhance your skills, and contribute to a purpose-driven company that’s making a global impact, Visa wants to hear from you. Join us in transforming the payments landscape while enjoying a hybrid work model that provides flexibility and maintains a strong sense of teamwork. Let’s build the future of payments together!

Frequently Asked Questions (FAQs) for Sr. Data Engineer Role at Visa
What are the primary responsibilities of a Sr. Data Engineer at Visa?

As a Sr. Data Engineer at Visa, your main responsibilities include collaborating with various project and data science teams to develop and implement data-driven business solutions. You will design and architect services related to AI platforms, oversee implementation to ensure scalability and performance, and mentor junior team members. Your focus will be on creating new capabilities for AI as a Service while continuously improving development processes.

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What qualifications are required for the Sr. Data Engineer position at Visa?

To qualify for the Sr. Data Engineer role at Visa, you should have at least three years of relevant experience along with a Bachelor's or advanced degree. You must be proficient in Golang, Java, or Python, have experience with distributed microservices systems, and possess knowledge of real-time streaming systems and containerization tools such as Docker and Kubernetes.

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How does Visa support professional development for Sr. Data Engineers?

Visa fosters a supportive environment for professional growth, especially for Sr. Data Engineers, by providing opportunities for mentoring and coaching. You’ll have the chance to lead projects, refine your skills in various technologies, and work alongside talented professionals in a collaborative Agile Scrum setting. Visa values knowledge sharing and encourages you to explore new technologies and solutions.

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What technologies will a Sr. Data Engineer at Visa work with?

A Sr. Data Engineer at Visa will work with a range of advanced technologies, including AI and Machine Learning frameworks, real-time streaming systems like Spark and Kafka, and containerization platforms like Docker and Kubernetes. Familiarity with operational tools such as Splunk and Grafana will also be beneficial, along with experience in Big Data technologies like Hadoop.

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What is the work environment like for Sr. Data Engineers at Visa in Bangalore?

The work environment for Sr. Data Engineers at Visa in Bangalore is dynamic and collaborative. This hybrid position allows for a balance of remote work and in-office collaboration to foster teamwork and innovation. With a strong focus on Agile practices, you can expect to engage with various teams and contribute to impactful projects in a supportive atmosphere.

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Common Interview Questions for Sr. Data Engineer
Can you describe your experience with distributed microservices systems?

When asked about distributed microservices, focus on your hands-on experience, detailing specific projects where you've designed or implemented such systems. Include challenges you faced, technologies you used, and how you ensured scalability and reliability in your solutions.

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What coding languages are you proficient in, and how have you used them in previous projects?

Highlight your proficiency in languages like Golang or Java. Discuss how you've used these languages in real projects, focusing on specific tasks like building microservices, automating processes, or improving performance, providing concrete examples of your contributions.

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How do you ensure the quality and reliability of your code?

Emphasize your practices such as peer code reviews, unit testing, and following coding standards. Describe any automated testing frameworks you’ve used and explain how these practices have helped you achieve high-quality, reliable code.

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What challenges have you faced while working in Agile/Scrum teams, and how did you overcome them?

Talk about specific challenges, such as meeting sprint deadlines or managing changing requirements, and explain how you worked with your team to address these issues, ensuring effective communication and collaboration.

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Can you discuss a time when you had to troubleshoot a production issue?

Share a specific example of a production issue you encountered. Walk the interviewer through your troubleshooting steps, how you identified the root cause, and what measures you implemented to resolve the issue and prevent future occurrences.

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What strategies do you use to stay current with new technology trends?

Discuss your commitment to continuous learning through online courses, attending conferences, participating in tech meetups, or reading industry-related publications. Highlight any specific recent technologies you’ve explored and how they can apply to your role at Visa.

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How do you typically approach the design of a new software feature?

Describe your process for feature design beginning with requirements gathering, followed by brainstorming solutions, creating design documents, and ensuring alignment with team members. Emphasize your focus on scalability and performance during the design phase.

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What do you consider when optimizing the performance of an application?

Explain that optimizing application performance involves analyzing bottlenecks, applying best coding practices, and possibly adopting new architectures. Mention tools you've used to monitor performance and how you've iteratively improved application efficiency.

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Can you explain your experience with cloud platforms and how you've utilized them in previous roles?

Discuss specific cloud platforms you've used, such as AWS, Azure, or Google Cloud. Share examples of how you leveraged cloud services to enhance application development, reliability, and scalability in past projects.

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What is your understanding of AI and how it can impact payment systems?

Discuss how AI can enhance payment systems through fraud detection, personalized customer experiences, and automated decision-making. Share any related projects you’ve been involved in and how they integrated AI into payment solutions.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 11, 2025

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