Staff Data Engineer Bigdata JavaScala
Staff Data Engineer Bigdata JavaScala
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Job Description
The Data and Artificial Intelligence Platform (DAP) group is a key component of Visas Technology organization that provides the enabling technology and processes to handle Visas data assets and deliver valuable information products and services to customers. DAP delivers secure highquality and easytouse Visa core data assets as a service together with reliable and scalable data platform as a service to enable Visa and our partners to rapidly and efficiently innovate datadriven business products and services to lead the digital payment industry. Areas of focus include Business Intelligence and Analytics Artificial Intelligence Machine Learning Data as a Service and Platform as a Service etc. The portfolio comprises of over 60 data products & platforms for various external clients and internal lines of business. We provide services on behalf of traditional bank customers to millions of cardholders and merchants globally. Our application development is on the cutting edge of technology and we are viewed as innovative leaders within our industry.
The Platform operationalizes the delivery of AI and decision intelligence to ensure ongoing business values. Built with composable AI capabilities privacyenhancing computation and cloud native platforms platform automates the updates to data models and applications. If you want to be in the exciting payment and AI space learn fast and make big impacts this is an ideal place for you!
We are responsible for designing developing and implementing next generation data platforms to drive incremental revenue.
Essential Functions
- Work with product 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 selfserve data and tools for Visas data scientists
- Perform other tasks on R&D data governance system infrastructure analytics tool evaluation and other cross team functions on an asneeded basis
- Find opportunities to create automate and scale repeatable analyses or build selfservice 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
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 23 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 :
- Bachelor degree in a technical field such as computer science computer engineering or related field required. Advanced degree preferred.
- 8 years of software development experience (with a concentration in data centric initiatives) with demonstrated expertise in leveraging standard development best practice methodologies
- Solid handson experience with Data technologies like Hadoop Spark Hive and Map Reduce
- Minimum of 3 years of handson 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 TestDriven Development environment.
- Practical knowledge of Gen AI tools is an added advantage.
- 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
- Passionate about delivering zero defect code that meet or exceed the proposed defect SLA and have high sense of accountability for quality and timeliness.
- Ability to deliver on multiple projects and manage priorities based on changing directions
- Leading a module/team or mentoring experience will be a plus.
- Excellent presentation collaboration and communication skills required.
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
