Overview We are the global technology company behind the world's fastest paymentsprocessing network. We are a vehicle for commerce, a connection to financialsystems for the previously excluded, a technology innovation lab, and the homeof Priceless. We ensure every employee has the opportunity to be a part ofsomething bigger and to change lives. We believe as our company grows, soshould you. We believe in connecting everyone to endless, pricelesspossibilities. Our team within Client's: The Services org is a key differentiator for Client's, providing thecutting -edge services that are used by some of the world's largestorganizations to make multi -million dollar decisions and grow their businesses.Focused on thinking big and scaling fast around the globe, this agile team isresponsible for end -to -end solutions for a diverse global customer base.Centered on data -driven technologies and innovation, these services includepayments -focused consulting, loyalty and marketing programs, business Test& Learn experimentation, and data -driven information and risk managementservices.
RequirementsAdvanced Analytics Program: Within the Services Technology Team, the Advanced Analytics program is arelatively new program that is comprised of a rich set of products that provideaccurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights.Currently, we are enhancing our customer experience with new user interfaces,moving to API and web application -based data publishing to allow for seamlessintegration in other Client's products and externally, utilizing new datasets and algorithms to further analytic capabilities, and generating scalablebig data processes. We are looking for an innovative data engineer who will lead the technicaldesign and development of an Analytic Foundation. The Analytic Foundation is asuite of individually commercialized analytical capabilities that also includesa comprehensive data platform. These services will be offered through a seriesof APIs that deliver data and insights from various points along a central datastore. This individual will partner closely with other areas of the business tobuild and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes todesigning, building, and testing features. The range of work you will encountervaries from building intuitive, responsive UIs to designing backend datamodels, architecting data flows, and beyond. There are no rigid organizationalstructures, and each team uses processes that work best for its members andprojects. Here are a few examples of products in our space: • Portfolio Optimizer (PO) is a solution that leverages Client's dataassets and analytics to allow issuers to identify and increase revenueopportunities within their credit and debit portfolios. • Audiences uses anonymized and aggregated transaction insights to offertargeting segments that have a high likelihood to make purchases within acategory to allow for more effective campaign planning and activation. • Credit Risk products are a new suite of APIs and tooling to provide lendersreal -time access to KPIs and insights serving thousands of clients to makesmarter risk decisions using Client's data. Help found a new, fast -growing engineering team Position Responsibilities: As a Data Engineer within the Advanced Analytics team, you will: • Play a large role in the implementation of complex features • Push the boundaries of analytics and powerful, scalable applications • Build and maintain analytics and data models to enable performant andscalable products • Ensure a high -quality code base by writing and reviewing performant,well -tested code • Mentor junior engineers and teammates • Drive innovative improvements to team development processes • Partner with Product Managers and Customer Experience Designers to develop adeep understanding of users and use cases and apply that knowledge to scopingand building new modules and features • Collaborate across teams with exceptional peers who are passionate about whatthey do Ideal Candidate Qualifications: • 4+ years of full stack engineering experience in an agile productionenvironment • Experience leading the design and implementation of large, complex featuresin full -stack applications • Ability to easily move between business, data management, and technicalteams; ability to quickly intuit the business use case and identify technicalsolutions to enable it • Experience leveraging open source tools, predictive analytics, machinelearning, Advanced Statistics, and other data techniques to perform analyses • High proficiency in using Python or Scala, Spark, Hadoop platforms &tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products& platforms • Experience in building and deploying production -level data -drivenapplications and data processing workflows/pipelines and/or implementingmachine learning systems at scale in Java, Scala, or Python and deliveranalytics involving all phases like data ingestion, feature engineering, modeling,tuning, evaluating, monitoring, and presenting • Experience in cloud technologies like Data bricks/AWS/Azure • Strong technologist with proven track record of learning new technologies andframeworks • Customer -centric development approach • Passion for analytical / quantitative problem solving • Experience identifying and implementing technical improvements to developmentprocesses • Collaboration skills with experience working with people across roles andgeographies • Motivation, creativity, self -direction, and desire to thrive on small projectteams • Superior academic record with a degree in Computer Science or relatedtechnical field • Strong written and verbal English communication skills