Job Location: Bangalore/Bengaluru
The Payment Systems Risk team is responsible for building critical risk and fraud prevention applications and services at VISA. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate risk for Visa and Visa client payment systems.
Are you skilled at turning hard numbers into compelling stories and useful strategic insightsDo you solve complex data challenges with creative flairPut those skills to work answering strategic questions for one of the worlds most respected and innovative payments companies.
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.
Essential Functions
- 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 RnD, 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
- Ensure project delivery within timelines and budget requirements
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
5+ years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
Solid hands-on experience with Data technologies like Hadoop, Spark, Hive, and Map Reduce
Minimum of 3 years of hands-on expertise with Java or Scala
Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase
Experience working in an Agile and Test-Driven Development environment.
Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable
Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is good to have
Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients
Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style
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