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Spark Data Engineer - Hybird Working



Information Engineering Apache Spark Computerprogrammierung ETL Java Data Analysis UNIX Kommunikation Data Warehousing Apache Hadoop Python Performance-Tuning Softwareentwicklung Scripting Wirkungsanalyse Informatik


Data Engineer - Spark/PySpark
  • Location: Zurich 2 days per week on site
  • Duration: 6 months + Extensions
  • Rate: CHf (Swiss Franc) per day
  • Full time contract 8 hours per day 5 days per week

I'm currently working with a well-known global consultancy to help them find a Data engineer with strong experience building complex data pipelines using Spark. This person will be working onsite 2 days per week with a 'heavy hitter' in the financial services industry.

Skills and Experience Requirement:
  • Bachelor's in computer science or similar technical field.
  • Excellent coding, analytic, troubleshooting and impact analysis skills.
  • Experience in data analytics projects, worked in building DW ETL routines
  • Hands-on experience building complex data pipelines using Spark ideally with (Py)Spark.
  • Hands-on experience in performance tuning of complex data pipelines built in Spark.
  • Hands-on experience in coding data pipelines in Hadoop using various technologies.
  • Hands-on experience with Unix scripting, batch and Cron Jobs, and writing complex SQLs
  • Good communication skills. Able to handle project team and stakeholders.
  • Need good presentation skills, able to convey requirement and issues clearly to business community.
  • 7 + years hands-on software engineering experience in a data heavy environment.

Good to Have:
  • Experience in coding in Python/Scala/java would be an added plus
  • Hands-on experience in Palantir Foundry would be an added plus.
  • Knowledge and Experience in Data Warehouse/ETL pipeline building would be an added plus
6 Months
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