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Sr. Data Engineer - job 5 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

•4-7 yrs+ of experience in architecture design and development of large-scale
data management platforms and data application with simple solutions
•Bachelor's or master’s degree in Computer Science or related technical
discipline required
•Must have extensive hands-on coding and designing skills on
•Java/Python for backend
•MVC (model-view-controller) for end-to-end development
•SQL/NoSQL technology. Familiar with Databases like Oracle, DB2, SQL Server,
etc.
•React/Angular for front-end (UI front-end nice to have)
•Expertise in design and management of complex data structures and data
processes
•Expertise in efficiently leveraging the power of distributed big data systems,
including but not limited to Hadoop Hive, Spark, Kafka streaming, etc.
•Strong service architecture and development experience with high
performance and scalability
•Strong on driving for results and self-motivated, strong learning mindset, with
good understanding of related advanced/new technology. Keep up with the
technology development in the related areas in the industry, which could be
leveraged to enhance current architectures and build durable new ones.
•Strong leadership and team player.

 

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

Qualifications

Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

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)
•4-7 yrs+ of experience in architecture design and development of large-scale
data management platforms and data application with simple solutions
•Bachelor's or master’s degree in Computer Science or related technical
discipline required
•Must have extensive hands-on coding and designing skills on
•Java/Python for backend
•MVC (model-view-controller) for end-to-end development
•SQL/NoSQL technology. Familiar with Databases like Oracle, DB2, SQL Server,
etc.
•Web Services (REST/ SOAP/gRPC)
•React/Angular for front-end (UI front-end nice to have)
•Expertise in design and management of complex data structures and data
processes
•Expertise in efficiently leveraging the power of distributed big data systems,
including but not limited to Hadoop Hive, Spark, Kafka streaming, etc.
•Strong service architecture and development experience with high
performance and scalability
•Strong on driving for results and self-motivated, strong learning mindset, with
good understanding of related advanced/new technology. Keep up with the
technology development in the related areas in the industry, which could be
leveraged to enhance current architectures and build durable new ones.
•Strong leadership and team player.

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

At Visa, we're excited to announce that we're looking for a Sr. Data Engineer to join our vibrant team in Bangalore, India. With over 259 billion transactions flowing through our payment network every year, this is your chance to make a significant impact in the world of payments and technology. We need someone who is passionate about data architecture and has a knack for developing large-scale data management platforms. If you have 4-7 years of experience in this field and a strong technical foundation, along with proficiency in Java/Python for backend development and a good grasp of SQL/NoSQL databases, you might just be the perfect fit. You'll be working in a hybrid environment where collaboration is key, so strong leadership and teamwork skills are essential. Familiarity with distributed big data systems like Hadoop, Hive, and Spark is a big plus, as we strive for high performance and scalability in all our solutions. At Visa, you'll have the opportunity to engage with the latest technologies, which will not only enhance your career but also strengthen our technological landscape. Bringing your innovative mindset and self-motivated drive will help us achieve our mission of uplifting everyone and everywhere. If this sounds like the kind of challenge you're looking for, we'd love to hear from you!

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

As a Sr. Data Engineer at Visa, your core responsibilities include designing and developing large-scale data management platforms, crafting efficient data processes, and leveraging big data technologies like Hadoop and Spark. You'll work extensively with coding in Java/Python, and your role will involve end-to-end development within the MVC architecture. Collaborating with cross-functional teams and driving impactful results is also a key aspect, ensuring we continue to provide secure and reliable payment solutions.

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

The Sr. Data Engineer role at Visa requires a Bachelor’s or Master’s degree in Computer Science or a related field. You should have a minimum of 4-7 years of relevant work experience in data architecture and management. Key skills include proficiency in Java/Python for backend development, SQL/NoSQL databases, and familiarity with web services like REST and SOAP. A strong understanding of distributed big data systems and coding experience is vital as well.

Join Rise to see the full answer
What technologies should a Sr. Data Engineer be familiar with to work at Visa?

To excel as a Sr. Data Engineer at Visa, familiarity with Java/Python, SQL/NoSQL databases like Oracle and SQL Server, along with web services (REST/SOAP) is important. Knowledge of big data technologies such as Hadoop, Spark, and Kafka will be essential for managing distributed systems. Moreover, understanding front-end frameworks like React or Angular, although not mandatory, can be a valuable addition to your skillset.

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What is the working environment like for a Sr. Data Engineer at Visa?

The working environment for a Sr. Data Engineer at Visa is dynamic and collaborative. The position is hybrid, combining both remote and in-office work. Collaboration with various teams is crucial in this role, so being a strong team player and leader is essential. You’ll be surrounded by innovative minds, which fosters a culture of continuous learning and adapting to the latest technology developments.

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What growth opportunities are available for Sr. Data Engineers at Visa?

Visa values professional growth and offers myriad opportunities for Sr. Data Engineers to expand their expertise. You'll have access to training sessions and workshops on the latest technologies. Additionally, as you work on diverse projects within the company, you will gain exposure to different areas of the business, paving the way for advancement into management or specialized technical leadership roles.

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Common Interview Questions for Sr. Data Engineer
Can you explain your experience with data management platforms?

When answering this question, highlight specific platforms you've worked with, such as Hadoop or Spark, and discuss particular projects you contributed to. Emphasize your role in architecting these platforms and any performance optimizations you implemented.

Join Rise to see the full answer
Describe a time when you had to work with a complex data structure.

Discuss a relevant experience where you managed complicated data structures, explaining the challenges you faced and the solutions you employed. Focus on the technologies used and your approach to ensure data integrity.

Join Rise to see the full answer
What programming languages are you proficient in for backend development?

Be specific about your proficiency in Java and/or Python, explaining your familiarity with frameworks used in those languages. Share examples of projects where these skills led to successful outcomes.

Join Rise to see the full answer
How do you ensure the scalability of a data system?

Explain your strategies for building scalable systems, such as choosing the right architecture, optimizing queries, and properly indexing databases. Providing an example of a past project where you successfully implemented these strategies will bolster your answer.

Join Rise to see the full answer
What is your process for keeping up with new technology?

Discuss your methods for staying updated, such as attending workshops, following industry blogs, or participating in webinars. This shows your commitment to continuous learning and innovation.

Join Rise to see the full answer
Can you share an example of a successful project you led?

Take the interviewer through a project where you played a leadership role. Describe the objectives, your strategy for execution, and the key metrics that prove the project's success.

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How do you handle tight deadlines in a project?

Illustrate your time management and prioritization skills. Share techniques you use to maintain productivity while ensuring quality outputs, such as agile methodologies or task breakdowns.

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Describe your experience with front-end technologies.

If you have experience with frameworks like React or Angular, share specifics about projects where you integrated front-end technologies with your backend solutions. Highlight any collaborative work with front-end developers.

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What do you consider when designing a data process?

Discuss key factors such as data integrity, efficiency, and scalability. Provide examples of how you have previously designed data processes that optimized these aspects.

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How do you contribute to teamwork in data engineering projects?

Explain your approach to collaboration, mentioning tools or practices you advocate for within a team, such as pair programming, code reviews, or regular stand-up meetings.

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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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