Technical Architect for Analytics and Data Engineering
Our ideal candidate will lead the technical design and development of an Analytic Foundation, 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.
Key Responsibilities:
* Implement complex features that 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 delivering high-quality results.
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.
* 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.