Overview
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.
Permanent • Dublin/Hybrid
Responsibilities
* 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
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 Databricks/AWS/Azure
* Strong technologist with proven track record of learning new technologies and frameworks
* 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
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