Data Engineer

Role : Big Data/Pyspark EngineerLocation : Zurich, SwitzerlandWork model : 3 days WFO/weekRate : NegotiableMandatory Skills: Python & Pyspark Desired skills & experience (JD) :7 + years of focused and in-depth experience in implementing complex business analytics applications using big data technologies.A problem-solvers, with good analytical skills and a can-do attitude.Experience of various programming technologies and has good development sense, modular coding experience.Participated in various Hackathons and provided optimal & impactful solution to a real-world problem.Start-up mindset, has worked in big data start-ups using Spark or comes with boutique or captive firms knows for building big data solutions using SparkExtensive experience as a Data engineer with experience in designing, developing, and managing complex data pipelines which collects, store, process, and analyses large volumes of dataDevelop optimized data pipelines and make sure they are executed with high performanceExperience in Linux Bash, PowerShell, and Python scriptingPerform research to handle any problems faced while meeting the business objectives.Believer of “Clean Code” follows importance of various clean code approachesConducts through unit test of the code, discover issues, and fix them diligentlyWorked with version control tools such as Git and SVN.Extensively worked on Python Programming, Spark coding using scala or PySparkKnowledge of cloud technologies especially Azure, Databricks, and Devops (Git, development of CI/CD pipelines, containers) would be an added advantageDesign functional and technical architecturesA team player practices in Peer code reviews, Pair programmingGreat communication abilities, both technically and non-technically.Can work independently with little or no supervision. If interested, or you know someone that could be, please reach out and we can arrange a time to speak?