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Sr. Data Engineer - job 6 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

Join Visa as a Senior Data Engineer in our Bangalore office, where you're not just coding—you're transforming the future of payments. At Visa, a global leader in payments and technology, we process over 259 billion transactions each year, connecting consumers, businesses, and economies in more than 200 countries. As a part of our dynamic team, you'll dive into the thrilling world of AI as a Service (AIaS), where cutting-edge technology meets innovation to solve complex payment problems. In this role, you’ll be hands-on in designing, documenting, developing, and testing new AI-driven functionalities while collaborating closely with project and data science teams to cultivate impactful solutions. Your expertise with distributed microservices and languages like Golang, Java, or even Rust will be essential, as you implement systems that are not only scalable and secure but also designed with the best practices in mind. We're looking for someone who’s flexible and motivated to take on diverse challenges, whether it's refactoring code or mentoring junior developers. Being part of an Agile Scrum team, you’ll foster a culture of continuous improvement and high accountability. With Visa, you’ll have the chance to make a meaningful impact in a company that’s evolving into a tech powerhouse. So if you’re ready to explore this exciting journey with us while elevating your career, let’s talk!

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

As a Senior Data Engineer at Visa, your primary responsibilities include collaborating with project, data science, and development teams to enhance our AI as a Service platform. You will design and implement scalable services, drive technical standards, and mentor junior developers. Additionally, you'll work on innovative data-driven business solutions and ensure high performance and security of the systems.

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What qualifications are needed to apply for a Senior Data Engineer position at Visa?

For the Senior Data Engineer role at Visa, candidates should have at least 3 years of experience and a Bachelor's or advanced degree in a related field. Proficiency in Golang, Java, or Rust, as well as experience with distributed microservices, Docker, Kubernetes, and real-time streaming systems, is essential. Strong communication and problem-solving skills are also a must.

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What programming languages are most important for a Senior Data Engineer at Visa?

In the role of Senior Data Engineer at Visa, key programming languages include Golang and Java, with additional expertise in Rust being beneficial. Familiarity with C/C++ is acceptable as well. These languages are crucial for developing robust, scalable microservices and handling complex data systems.

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How does Visa support the growth of Senior Data Engineers?

Visa is committed to professional development for Senior Data Engineers through mentorship programs, collaboration on innovative projects, and access to the latest technology tools. You'll have opportunities to lead team initiatives, upskill in emerging technologies, and participate in Agile methodologies, fostering both personal and career growth.

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What is the work environment like for a Senior Data Engineer at Visa in Bangalore?

The work environment for a Senior Data Engineer at Visa in Bangalore is dynamic and collaborative. You’ll be part of Agile Scrum teams, encouraging innovation and efficiency. Visa supports a hybrid working model, balancing remote work with in-office collaboration two days a week, which promotes flexibility while fostering team interactions.

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

In your answer, highlight specific projects where you successfully designed or worked with distributed microservices. Explain the architecture you used, the challenges faced, and how you ensured performance and scalability, particularly in a payments context.

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What programming languages do you prefer for data engineering tasks, and why?

Discuss your preferred languages like Golang or Java, citing why they are effective for data engineering tasks such as scalability, maintainability, or performance. Provide examples of projects where these languages made a significant impact.

Join Rise to see the full answer
How do you ensure high-quality code in your projects?

Explain your coding standards, QA processes, and testing methodologies. Mention practices like peer reviews, unit testing, and CI/CD pipelines that you employ to maintain code quality and minimize bugs.

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Describe your approach to working within an Agile Scrum team.

Share your experiences in participating in Agile processes, how you collaborate with team members during sprints, and your role in facilitating ceremonies like retrospectives and stand-ups. Highlight how Agile methodology has helped you deliver projects efficiently.

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How do you handle tight deadlines and multiple project priorities?

Talk about your time management techniques, such as prioritizing tasks based on urgency and importance. Provide examples of how you've successfully met deadlines while ensuring quality work in previous positions.

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Explain your familiarity with AI technologies and how you would apply them as a Senior Data Engineer.

Discuss your experiences with AI frameworks or libraries and how you’ve integrated AI solutions into data pipelines. Highlight any relevant projects where AI technologies were key to enhancing existing systems.

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What are some best practices you follow for documenting your code and systems?

Illustrate your documentation strategies, emphasizing the importance of clear, concise, and accessible documentation for future development and onboarding. Share examples of tools like Confluence or Markdown that you use.

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Can you share a challenging problem you solved in a past project?

Choose a relevant project where you encountered a significant challenge. Outline the problem, the solution you implemented, and the results, illustrating your problem-solving abilities and technical skills.

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What tools and technologies are you most comfortable using for monitoring and logging?

Mention specific tools you have experience with, such as Splunk, Prometheus, or Grafana. Discuss how you utilize these tools to maintain system health, track performance metrics, and diagnose issues.

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How do you approach mentoring junior team members?

Detail your mentoring style, emphasizing the importance of knowledge sharing, regular check-ins, and providing constructive feedback. Provide examples of when you helped junior developers grow their skills or knowledge.

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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 10, 2025

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