Big Data/Pyspark Engineer

vor 2 Wochen


Zürich, Zürich, Schweiz Thrive IT Systems Vollzeit CHF 120'000 - CHF 180'000 pro Jahr
  • Hands on 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 Spark
  • Extensive experience as a Data engineer with experience in designing, developing, and managing complex data pipelines which collects, store, process, and analyses large volumes of data
  • Develop optimized data pipelines and make sure they are executed with high performance
  • Experience in Linux Bash, PowerShell, and Python scripting
  • Perform research to handle any problems faced while meeting the business objectives.
  • Believer of "Clean Code" follows importance of various clean code approaches
  • Conducts through unit test of the code, discover issues, and fix them diligently
  • Worked with version control tools such as Git and SVN.
  • Extensively worked on Python Programming, Spark coding using scala or PySpark
  • Knowledge of cloud technologies especially Azure, Databricks, and Devops (Git, development of CI/CD pipelines, containers) would be an added advantage
  • Design functional and technical architectures
  • A team player practices in Peer code reviews, Pair programming
  • Great communication abilities, both technically and non-technically.
  • Can work independently with little or no supervision.

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