Data Systems Engineer

Data Systems EngineerLocation: Alpharetta, GA or Menlo Park, CA - Hybrid 3 Days a Week Onsite 12 months+Interview Process:Screening of Technical Background - check Linux exp (Team member - 1hr)Technical Panel (in person)Bachelor's Degree: Not a hard requirement but a BIG PLUSIndustry Background: Plus Years of experience: 7-15 yearsExp Must:Need to have strong working knowledge on Linux platformApplication Development Exp - Python (#1) - Ruby or Shell (#2)Need to be able to run the application within Linux - debug - understand when they run the application there is a memory cpu, etcELK (Elastic Search) ExpKafka building pipeline with ELK and KafkaStrong communication, Team Player and someone who is open to learning and getting their hands dirty.Ability to learn - CuriosityPlus :FlingSnowflake Database ExpSpark Data processingGood Data Analysis BackgroundELK CertificationObservability and Data AnalysisD2D:This person will not only be doing the pipeline development but will work in large scale cluster setting.Will requires the understanding of scalability in the Kafka environmentThis person will ensure the jobs are up and running, debug it and support the 100s of customers who use their systemBe the person to support those peoplePipeline development using Kafka, ELK and HyconWill need a strong knowledge of linux because that's where they deploy their jobs in the 100sPipeline is within Kafka and almost all the data is writing within ELK (need to understand how the data is stored)Misc :If the candidate is a data engineer, they also need to be a data engineer/application developerThey need core applications development. Not only know shell/python development.Team works directly within a Linux platform (very important)Will do Development, Deployment and SupportStruggles while reviewing resumes:Sees a lot of cookie cutter resumes that match that JD to a "T".