Staff Data Engineer

Company Description Visa is a world leader in payments and technology with over 259 billion payments transactions flowing safely between consumers merchants financial institutions and government entities in 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 while driven by a common purpose - to uplift everyone everywhere by being the best way to pay and be paid Make an impact with a purpose-driven industry leader Join us today and experience Life at Visa New Payment Flows NPF division s charter is to capture new sources of money movement through card and non-card flows including Visa Business Solutions Government Solutions and Visa Direct which presents an enormous growth opportunity Our team brings payment solutions and associated services to clients around the globe Our global clients and partners deploy our solutions to serve the needs of Small Businesses Middle Market Clients Large Corporate Clients Multi Nationals and Governments The Visa Business Solutions VBS and Visa Government Solutions VGS team is a world-class technology organization experiencing tremendous double-digit growth as we expand products into new payment flows and continue to grow our core card solutions This is an incredibly exciting team to join as we expand globally 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 This is a hybrid position Expectation of days in the office will be confirmed by your Hiring Manager Qualifications Basic Qualifications 5 years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree e g Masters MBA JD MD or 0 years of work experience with a PhD OR 8 years of relevant work experience Preferred Qualifications 5 years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree e g Masters MBA JD MD or 0 years of work experience with a PhD OR 8 years of relevant work experience Bachelor degree in a technical field such as computer science computer engineering or related field required Advanced degree preferred Minimum of 8 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 Streaming Kafka Hive and Hbase Minimum of 4 years of hands-on expertise with 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 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 Candidates with demonstrated use of generative AI coding tools will be preferred Experience in building monitoring and alerting Prometheus Grafana Datadog CloudWatch for broker health consumer lag job failures and pipeline SLAs Lead incident response root cause analysis and post mortems drive preventative improvements Experience in Kafka streaming implementation for Spark based applications Perform rapid root cause analysis RCA using logs metrics traces and lineage drive permanent fixes and post mortems with clear action items Mentor engineers set best practices code reviews and technical standards Experience with Java would be added advantage 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