Big Data Engineer

Description

Big Data Engineer with Scala, Spark, Hadoop and Java
Job Duties Provide technical leadership for an Agile team developing software applications and systems, creating or enhancing CAS products and solutions using Scala, Spark, and Hadoop, amongst other Javabased technologies.
Deliver solutions to production environments creating business value.
Collaborate with your teammates and product owners grooming backlogs of epics and stories for upcoming development sprints.
Push the limits of strong software engineering by helping to drive automated Job Requirements 4year degree in computer science or engineering, or equivalent experience.
Scala and Spark senior level experience and knowledge with a strong background in the tuning and performance of complex Spark workflows
Strong preference for knowledge of Spark streaming, Yarn, Maven, Git, Docker and Solr.
Application Delivery and Software Development at least 5 years of experience.
Java/Linux technology stack seniorlevel experience and knowledge of application servers, backend processing, and the web tier.
Automated Testing, Testdriven Development, debugging, troubleshooting, and optimizing code senior level experience and knowledge
Big Data experience with the big data technology stack (e.g. Hadoop, Cascading, Spark, Scala, Solr/Lucene etc.
Leadership experience leading or helping to lead application delivery teams.
Pair Programming Need to have experience or be willing to pair with others when it makes sense.
Clear Communication Must be comfortable and eager discussing work items in team settings.
Passion for Development Actively learns on the job and outside of work. We are a team of developers that constantly seek to improve our craft and we expect to work with the same.
Cross Functional Skill Development willing to learn new skills and roles to meet the needs of their team.