Data EngineerDesigns, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.Top Skills:highly analytical mindsetstrong troubleshooting skillsHadoop / Big DataSparkAny cloud experience is fine but preference is for GoogleDay-to-day Responsibilities:managing the production of data pipelines.Troubleshoot performance issues and failures and reporting to the team/management.This is a production support team and they provide this data to AI, Data science, and other teams.Experience/Skills Required:Bachelor's degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related 2.3+ years of solid Java and 2+ years experience in design, implementation, and support of big data solutions in Hadoop using Hive, Spark, Drill, Impala, HBase3.Hands-on experience with Unix, Teradata and other relational databases.Experience with Scala is a plus.Strong communication and problem-solving skillsRequired Skills: Hadoop Additional Skills: Big Data