Lead Data Engineer – Payments Systems Risk Job Vacancy in Visa Bengaluru, Karnataka – Updated today

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Full Details :
Company Name :
Visa
Location : Bengaluru, Karnataka
Position :

Job Description : Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.

Job Description
The Payment Systems Risk team within Visa Data Product 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 insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world’s most respected and innovative payments companies.
As a Sr. Staff 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 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
Ensure project delivery within timelines and budget requirements
Provide coaching and mentoring to junior team members

Qualifications

Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred
10+ years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
Minimum of 4 to 5 years of experience in building large-scale applications using open source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive, and Map Reduce
Minimum of 4 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
Experience with data visualization and business intelligence tools like Tableau, Microstrategy, or other programs highly desired
Experience with SAS as a statistical package is preferred
Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is preferred
Additional Information

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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