Staff Data Engineer - Fullstack, Golang
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As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You're an Individual. We're the team for you. Together, let's transform the way the world pays.
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. For a payment system to work well, the risk techniques, performance, and scalability are critical. These techniques and systems can benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies and in VISA, we have all of these. If you want to be in the exciting payment space, learn fast, and make big impacts, Artificial Intelligence Platform team within Payment Security & Identity group @ VISA 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 Platform 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.
As a Data Engineer, you will be responsible to establish processes, automations, structures and big data systems based on business and technical requirements to channel multiple requirements, route appropriately and plan proper big data technology using combination of open source and vendor supported big data technologies, databases, and other applicable big data technologies as required.
- Work with manager and clients to fully understand business requirements and desired business outcomes
- Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions
- Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s data scientists
- Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
- Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users
- Execute data engineering projects ranging from small to large either individually or as part of a project team
This position will be based in Bangalore, KA and reporting to Director of Software Engineering. 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.
8 years of relevant work experience with a Bachelor’s Degree or at least 4 years of relevant work experience with an Masters Degree, or a PhD.
Bachelor degree in Computer Science or related field and 8 years of Software Development Experience or a Masters with 5 years of Software Development Experience or a PhD with 2 years of experience.
Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing, MLOps.
Expert in at least one of the following: Golang, Java, or Python/Scala
Experience with web service standards and related patterns (REST, gRPC)
At least two years of experience with Kubernetes, Docker, and/or cloud deployment technologies
Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing
Experience implementing solutions for low-latency, distributed services using open standard technologies.
Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce
Experience with distributed caching technologies like Redis DB
Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring tools like Prometheus, Grafana, Datadog, etc.
Experience architecting solutions with Continuous Integration and Continuous Delivery in mind
Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, a team player with good work ethics
A background in the fraud detection domain is a plus.
This position requires the incumbent to be available during core business hours.
This position requires the incumbent to travel for work 0% of the time.
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.
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Leading global payment solutions