Principal Data Engineer

Responsibilities● Able to contribute to the gathering of functional requirements, developing technicalspecifications, and test case planning● Demonstrating technical expertise, and solving challenging programming and designproblems● 60% hands-on coding with architecture ownership of one or more products● Ability to articulate architectural and design options, and educate development teams andbusiness users● Resolve defects/bugs during QA testing, pre-production, production, and post-releasepatches● Mentor and guide team members● Work cross-functionally with various bidgely teams including product management, QA/QE,various product lines, and/or business units to drive forward resultsRequirements● BS/MS in computer science or equivalent work experience● 8-12 years’ experience designing and developing applications in Data Engineering● Hands-on experience with Big data EcoSystems.● Past experience with Hadoop,Hdfs,Map Reduce,YARN,AWS Cloud, EMR, S3, Spark, Cassandra,Kafka, Zookeeper● Expertise with any of the following Object-Oriented Languages (OOD): Java/J2EE,Scala,Python● Ability to lead and mentor technical team members● Expertise with the entire Software Development Life Cycle (SDLC)● Excellent communication skills: Demonstrated ability to explain complex technical issues toboth technical and non-technical audiences● Expertise in the Software design/architecture process● Expertise with unit testing & Test-Driven Development (TDD)● Business Acumen - strategic thinking & strategy development● Experience on Cloud or AWS is preferable● Have a good understanding and ability to develop software, prototypes, or proofs ofconcepts (POC's) for various Data Engineering requirements.● Experience with Agile Development, SCRUM, or Extreme Programming methodologies