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Data engineer, Python, full-stack engineering experience, 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. Ability to deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting. Experience in cloud technologies like Databricks, AWS, Azure.
Requirements
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 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.
Position Responsibilities:
* Play a significant role in implementing complex features.
* Push the boundaries of analytics and scalable applications.
* Build and maintain analytics and data models to enable performant and scalable products.
* Ensure high-quality code 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 understand users and use cases, applying that knowledge to scope and build new modules and features.
* Collaborate across teams with passionate peers.
Qualifications:
* 4+ years of full-stack engineering experience in an agile environment.
* Experience leading the design and implementation of large, complex features in full-stack applications.
* Ability to navigate between business, data management, and technical teams; quickly understand business use cases and identify technical solutions.
* Experience leveraging open source tools, predictive analytics, machine learning, advanced statistics, and other data techniques.
* High proficiency in Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL for building Big Data products & platforms.
* Experience deploying production-level data-driven applications and data processing workflows/pipelines, and/or implementing machine learning systems at scale in Java, Scala, or Python, covering all phases from data ingestion to presentation.
* Experience with cloud technologies like Databricks, AWS, Azure.
* Strong learning agility with new technologies and frameworks.
* Passion for analytical and quantitative problem solving.
* Experience in improving development processes technically.
* Excellent collaboration skills across roles and geographies.
* Motivation, creativity, self-direction, and ability to thrive on small project teams.
* Degree in Computer Science or related technical field with a strong academic record.
* Excellent written and verbal English communication skills.
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