Data Engineer

Data Engineer - DublinData 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/AzureRequirementsWe 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 aboutQualifications:• 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