Good to have : Development tools (Git/Stash, Jenkins, Maven, Artifactory and UDeploy) Experienced in Agile SCRUM practices SQL proficiency (Oracle experience preferred), ORM Tools (iBatis, Hibernate) Unix Shell and Python scripting basics Job Scheduling Technologies (Autosys / Airflow) Must to Have : Knowledge on ETL framework knowledge on AWS cloud services and technologies app deployments in Containers (Docker, EKS) Troubleshoot build and deploy failures, and facilitate resolution
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full time