Data Engineer
vor 1 Woche
Role :
Big Data/Pyspark Engineer
Location :
Zurich, Switzerland
Work model :
3 days WFO/week
Rate :
Negotiable
Mandatory 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 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.
If interested, or you know someone that could be, please reach out and we can arrange a time to speak?
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