Data Engineer - Dublin
Data eng, python, fullstack eng exp,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
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 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.
Position Responsibilities:
As a Data Engineer within 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
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