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Data Engineer - Spark/Python

Gazelle Global Consulting

Posted on Jun 2, 2021 by Gazelle Global Consulting

Zürich, Switzerland
Immediate Start
£600 - £650 Daily

My client seeks a data engineer who will help build new or improve existing data pipelines.

You should be comfortable working with large or fast moving data, have a solid understanding of distributed processing frameworks, and a software engineering mindset

  • This role is not a data scientist role. It is not expected to know statistics or business or any python libraries used for creating ML models

  • This is not a cloud Or devops role

  • This role is not a python/Scala/Java programmer role. It would be good if you have used Python in Spark programming, but you are not expected to code in python

  • Role involves knowing and coding in big data, transforming data in the data pipeline, scheduling data pipelines, writing performant big data pipelines. If you have not done this using Spark, this is not


  • Over all 7 to 12 years of IT experience. Extensive experience in Big Data, Analytics, ETL technologies

  • Minimum 2 to 4 years of experience in Spark programming using either Python/Scala/Java.

  • Application Development background on big data along with knowledge of Analytics libraries and big data computing libraries

  • Hands on experience in coding, designing and development of complex data pipelines using big data technologies

  • Experience in developing applications on Big Data. Design and build highly scalable data pipelines

  • Experience in Python, SQL Database, Spark, non-relational databases

  • Responsible to ingest data from files, streams and databases. Process the data using Spark, Python

  • Develop programs in PySpark as part of data cleaning and processing

  • Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing system

Nice To Have Skills:

  • Experience in Palantir

  • Knowledge of CI/CD Pipelines, Git, Jenkins

  • Have worked with large datasets

  • Proficient reading and understanding enterprise-grade PySpark code

For immediate consideration, please forward your latest CV.

Reference: 1215483606

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