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Staff Data Engineer

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

This position is ideal for those who is passionate about solving challenging business problems and building applications that provide an excellent user experience. As a Staff Data Engineer, you will be an integral part of the Loyalty and Marketing development team, focusing on designing and building software solutions that leverage data to solve business problems.

The role is for a self motivated individual with strong foundational software engineering skills. The candidate will be extensively involved in hands on activities, including POCs, design, documentation, and development of new functionality. The candidate must be flexible and willing to switch tasks based on the team's needs.
Responsibilities:

  • This position is ideal for an engineer who is passionate about solving challenging business problems and building applications that provide excellent user experiences. You will be an integral part of the Loyalty development team focusing on design and building of software solutions that leverage data to solve business problems.
  • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients.
  • Lead development and oversee programming testing functions to ensure that projects are securely delivered while fulfilling expectations.
  • Identify opportunities for further enhancements and refinements to standards and processes.
  • Lead by example, demonstrating accountability, mentoring junior team members, and by contributing to departmental procedures, best practices, and standards.
  • The candidate will be extensively involved in hands on activities including POCs, design, documentation, coding, testing, implementation, and documentation of solutions for new development, system enhancements, and production support.
  • Candidate must be flexible and willing to switch tasks based on team's needs.
  • Development and programming functions to ensure that projects are delivered on time and within budget with good code quality.
  • Work with architects, systems analysts, project managers, QA, and other developers to successfully implement business requirements while applying the latest available tools and technology.
  • Responsible for the architecture, design, development, implementation of data based software applications. This includes working with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations.
  • Interact with business units to define requirements and modifications and use case to utilize in designing appropriate solutions.
  • Provide recommendation on scope and scale of effort required to develop solution.
  • Design, develop, document, and implement new programs and subprograms, as well as enhancements, modifications, and corrections to existing software Develop testing and debugging routines.
  • Create documentation and procedures for installation and maintenance.
  • Build and maintain relationship with global and virtual teams and third parties on software development or support issues.
  • Identify opportunities for further enhancements and refinements to standards, best practices, and development methodologies.
  • Work directly with Architects, System Analysts, Dev leads and QA team leads to manage the technical aspects of a development 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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

  • Master’s Degree in Computer Science or related field with 6 years of relevant experience or BS Degree with 8 years of experience.


Preferred Qualifications

  • Previous exposure to financial services is a plus, but not required.
  • Extensive experience in architecting and developing real time applications that are fault tolerant, scalable and can handle high volumes.
  • Experience in best practices for API development and design patterns.
  • Quick learner, self starter, detailed and thorough.
  • Experience in all phases of software development life cycle including functional requirements definition, technical design, development, testing, quality assurance, system certification, systems implementation, and system validation.
  • Consistently able to assess and evaluate problems in a production environment and manage risk to the service when recommending change.
  • Strong secure coding practices.
  • Good Knowledge on Hadoop framework and related Big Data Technologies (HDFS, Map Reduce, Spark, HBase, Kafka).
  • Strong knowledge in Java or Scala or Python.
  • Knowledge on Dot Net is a add on
  • Strong knowledge of database concepts, systems architecture, and data structures is a must.
  • Java, J2EE, Angular, Spring Cloud, Microservices and strong knowledge on API development is desired.
  • Experience working in an Agile and Test-Driven Development environment.
  • Process oriented with strong analytical and problem-solving skills.
  • Work independently and mentor others in the team and with minimal supervision.
  • Ability to juggle multiple projects and change direction mid-course based on business drivers.
  • Ability to work independently in a high throughput environment.
  • Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style.

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

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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 Staff Data Engineer, Visa

Are you ready to take your career to the next level? As a Staff Data Engineer at Visa in Singapore, you’ll dive into solving some of the most challenging business problems in the payments and technology space. Here, we’re not just about numbers; we’re about making a real impact by providing exceptional user experiences. You’ll be a pivotal member of our Loyalty and Marketing development team, focused on designing and developing innovative software solutions. Your role will include hands-on activities—think proof of concepts, documentation, and crafting new functionality. You’ll need strong foundational software engineering skills and the flexibility to adapt as team demands shift, showcasing a proactive mindset. You’ll engage with both technical and business stakeholders, ensuring our solutions meet high-quality standards and deliver measurable business value. Leading by example, you’ll mentor junior team members and contribute to refining our best practices. This hybrid position offers you the chance to balance in-office collaboration with remote work, ensuring you can manage your time effectively while contributing to Visa’s mission to elevate payment experiences worldwide. Join us, and let's connect the world through innovative and secure payment solutions together!

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

As a Staff Data Engineer at Visa, you'll lead the development of software solutions specifically aimed at providing excellent user experiences and leveraging data to solve complex business challenges in the Loyalty and Marketing domain. This involves hands-on coding, documentation, and testing of new functionalities, collaborating with business clients to define requirements and ensure projects align with business needs.

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What qualifications are required for the Staff Data Engineer role at Visa?

To qualify for the Staff Data Engineer position at Visa, candidates should hold a Master’s Degree in Computer Science or a related field with at least 6 years of relevant experience, or a Bachelor’s Degree with at least 8 years of experience. A strong background in software development, including technologies like Java, Scala, or Python, alongside familiarity with Big Data technologies, is essential.

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What skills are vital for success in the Staff Data Engineer position at Visa?

Success as a Staff Data Engineer at Visa necessitates strong analytical and problem-solving skills. Familiarity with software development life cycles, secure coding practices, and experience in Agile methodologies are also crucial. Additionally, a deep understanding of databases, systems architecture, and data structures will empower you to manage multiple projects effectively.

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How does the hybrid work model operate for Staff Data Engineers at Visa?

In the hybrid model for the Staff Data Engineer position at Visa, employees are expected to be in the office 2-3 days a week, with the remainder of their time being spent working remotely. This arrangement allows for a balance of team collaboration and individual focus, all while meeting business needs as determined by leadership.

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What opportunities for growth exist for the Staff Data Engineer role at Visa?

At Visa, our Staff Data Engineers are encouraged to take on mentorship roles and lead by example. There are ample opportunities for further enhancements in technical skills and best practices, ensuring continuous professional growth. Engaging with various departments also opens up pathways to learn about different areas within the business, paving the way to advance your career in the tech landscape.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with real-time data applications as a Staff Data Engineer?

In your response, emphasize specific projects you've worked on that involved real-time data processing. Discuss the technologies used, challenges faced, and how you managed to architect scalable solutions under time constraints.

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How do you ensure secure coding practices in your projects?

When answering, highlight your understanding of security principles by discussing measures you take during development to protect against vulnerabilities, such as regular code reviews, using tools for static code analysis, and incorporating security into your development lifecycle.

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What is your approach to mentoring junior team members?

Your answer should reflect your collaborative nature. Discuss how you involve junior engineers in projects, share knowledge through pair programming, and advocate for a supportive learning environment that encourages questions and continuous improvement.

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How do you prioritize your tasks when managing multiple projects?

In your response, describe your organizational strategies such as using task management tools, setting clear priorities based on business impact, and regularly communicating with stakeholders to keep everyone aligned on project timelines.

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Can you explain your experience with Agile methodologies?

Discuss your familiarity with Agile processes, such as Scrum or Kanban, and provide examples of how you've contributed to sprints, participated in stand-ups, and retrospectives, and transformed feedback into actionable improvements during your past projects.

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What are the key components of a successful API design?

Outline your understanding of RESTful principles, versioning, documentation, and testing. Highlight the importance of scalability, security, and performance optimization in API design, using real-world examples where applicable.

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Describe a time when you had to solve a complex data-related problem.

Provide a detailed example, focusing on the situation, your analysis, the strategies you employed to find a solution, and the outcome. Highlight your critical thinking and technical skills throughout the process.

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How do you handle performance optimizations in your applications?

Your answer should reflect various optimization techniques you've implemented, such as caching strategies, optimizing queries, and load balancing. Discuss metrics you monitor and how you assess the performance of applications.

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What tools and technologies do you prefer for Big Data analytics?

Mention the tools you're most familiar with, like Hadoop, Spark, or Kafka, detailing your experience and how you've applied these technologies to derive insights or improve processing times for large datasets.

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How do you stay updated with the latest advancements in data engineering and technology?

Discuss your strategies such as attending workshops, participating in online courses, following industry leaders on platforms like LinkedIn, and being active in relevant forums or communities. This shows your commitment to continuous learning.

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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
January 2, 2025

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