Visa
Bangalore
IT Service
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.
Team Summary
At Data Platform, our vision is to turn big data into value for Visa and its clients through partnership. Our mission is to deliver rich, high quality and easy-to-use Visa core data assets as a service, together with a reliable, scalable, and secure data platform, that enables our internal partners to innovate and monetize data-driven business products and services to lead the digital payment industry rapidly and efficiently.
Platform as a Service vision is to build next generation platforms that are resilient, reliable, scalable and performant while maintaining Big Data Infrastructure required for development, deployment, and management of data application, as well as data analysis and machine learning model development.
What a “Staff Software Engineer” does at Visa:
- Takes Ownership of a Service which includes Business Logic, Dependency Technologies, Underlying Data Stores, and User Experiences
-
Operability aspects of a service by considering,
- Availability, Reliability, Performance, Provision, Security, Config Management, etc.
- Ability to Manage Many Deployments of the Service in a Scalable Way
- Ability to Integrate with Many Deployments of Other Services in a Scalable Way
- Troubleshoot of Service Issues, Identify and Implement Solutions and Workarounds, including full RCA
- Semantics Understanding of the Service
- Understand Common User Problems and Translate the Problems to the Service
- Coaching of Junior Team Member(s)
- Hands on with service development lifecycle by doing Code Commits and Code Reviews
Why this is important to Visa
Data Platform, Platform-as-a-Services – DLC development team is responsible and accountable for developing software for a product tasked with managing logical and physical metadata artifacts such as business glossaries, table definitions, data pipelines and orchestration workflows for the Visa Data Platform. This platform will serve as an accelerator for other data engineers within Visa and will promote best practices for creating and delivering data to our customers.
Projects you will be a part of:
We are looking for somebody that can lead the technical vision and implementation of a metadata-driven platform managing the full lifecycle of batch and streaming Big Data pipelines. This will include the application of ML and AI techniques in data management like but not limited to anomaly detection for discovering and resolving data quality issues and data discovery among others. This platform enables the delivery of Visa’s core data assets to both internal and external customers alike
- Provide Platform-as-a-Service offerings that are easy to consume, scalable, secure, and reliable using open source-based Cloud solutions for Big Data technologies
- Work at the intersection of infrastructure and software engineering by designing and deploying data and pipeline management frameworks built on top of open-source components, including Hadoop, Hive, Spark, HBase, Kafka streaming and other Open-Source Big Data technologies.
- Collaborate with various teams to build and maintain the most innovative, reliable, secure, and cost-effective distributed solutions.
- Facilitate knowledge transfer to the Engineering and Operations team during and after deployment.
- Work with geographically distributed teams on technical challenges and process improvements.
- Responsible for the design and implementation of agile-innovative data pipeline and workflow management solutions that take advantage of technology advances that allow cost reduction, standardization, and commoditization.
- Drive the adoption of open standard toolsets to reduce complexity and support operational goals for increasing automation across the enterprise.
- Champion the adoption of open infrastructure solutions that are fit for purpose while keeping technology relevant.
- Spend 80% of the time writing code in different languages, frameworks, and technology stacks.
What you will need:
- 7 yrs+ of experience in architecture design and development of large-scale data management platforms and data application with simple solutions
- Must have extensive hands-on coding and designing skills on
oJava/Python or Node.js/Javascript for backend
oMVC (model-view-controller) for end-to-end development
oSQL/NoSQL technology. Familiar with Databases like Oracle, DB2, SQL Server, etc.
oWeb Services (REST/ SOAP/gRPC)
oReact/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.
- Deep knowledge and hands on experience on big data and cloud computing technologies.
- Strong service architecture and development experience with high performance and scalability
- Technical background in data with deep understanding of issues in multiple areas such as data acquisition, ingestion and processing, data management, distributed processing, and high availability is required.
- 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.
- Bachelor’s degree in Computer Science or related technical discipline required; advanced degree is a plus.
- Strong leadership and team player.
- Strong skills on mentoring/growing junior people
- Payment industry experience is a plus.
What will also help:
- Experience with ETL/ELT tools / applications
- Experience with Apache NiFi and Apache Spark for processing large data sets
- Experience on Elastic Search
- Knowledge on Data Catalog tools
- Experience in building Data Pipeline development tools
- Experience with Data Governance and Data Quality tools
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.
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