Overview
We are the global technology company behind the world’s fastest payments
processing network. We are a vehicle for commerce, a connection to financial
systems for the previously excluded, a technology innovation lab, and the home
of Priceless®. We ensure every employee has the opportunity to be a part of
something bigger and to change lives. We believe as our company grows, so
should you. We believe in connecting everyone to endless, priceless
possibilities.
Our team within
Client's
:
The Services org is a key differentiator for
Client's
, providing the
cutting-edge services that are used by some of the world's largest
organizations to make multi-million dollar decisions and grow their businesses.
Focused on thinking big and scaling fast around the globe, this agile team is
responsible for end-to-end solutions for a diverse global customer base.
Centered on data-driven technologies and innovation, these services include
payments-focused consulting, loyalty and marketing programs, business Test
& Learn experimentation, and data-driven information and risk management
services.

Requirements

Advanced Analytics Program:
Within the Services Technology Team, the Advanced Analytics program is a
relatively new program that is comprised of a rich set of products that provide
accurate 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 seamless
integration in other Client's products and externally, utilizing new data
sets and algorithms to further analytic capabilities, and generating scalable
big data processes.
We are looking for an innovative data engineer who will lead the technical
design and development of an Analytic Foundation. The Analytic Foundation is a
suite of individually commercialized analytical capabilities that also includes
a comprehensive data platform. These services will be offered through a series
of APIs that deliver data and insights from various points along a central data
store. This individual will partner closely with other areas of the business to
build and enhance solutions that drive value for our customers.
Engineers work in small, flexible teams. Every team member contributes to
designing, building, and testing features. The range of work you will encounter
varies from building intuitive, responsive UIs to designing backend data
models, architecting data flows, and beyond. There are no rigid organizational
structures, and each team uses processes that work best for its members and
projects.
Here are a few examples of products in our space:
• Portfolio Optimizer (PO) is a solution that leverages
Client's
data
assets and analytics to allow issuers to identify and increase revenue
opportunities within their credit and debit portfolios.
• Audiences uses anonymized and aggregated transaction insights to offer
targeting segments that have a high likelihood to make purchases within a
category to allow for more effective campaign planning and activation.
• Credit Risk products are a new suite of APIs and tooling to provide lenders
real-time access to KPIs and insights serving thousands of clients to make
smarter 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 and
scalable 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 a
deep understanding of users and use cases and apply that knowledge to scoping
and building new modules and features
• Collaborate across teams with exceptional peers who are passionate about what
they do
Ideal Candidate Qualifications:
• 4+ years of full stack engineering experience in an agile production
environment
• Experience leading the design and implementation of large, complex features
in full-stack applications
• Ability to easily move between business, data management, and technical
teams; ability to quickly intuit the business use case and identify technical
solutions to enable it
• Experience leveraging open source tools, predictive analytics, machine
learning, 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-driven
applications and data processing workflows/pipelines and/or implementing
machine learning systems at scale in Java, Scala, or Python and deliver
analytics 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 and
frameworks
• Customer-centric development approach
• Passion for analytical / quantitative problem solving
• Experience identifying and implementing technical improvements to development
processes
• Collaboration skills with experience working with people across roles and
geographies
• Motivation, creativity, self-direction, and desire to thrive on small project
teams
• Superior academic record with a degree in Computer Science or related
technical field
• Strong written and verbal English communication skills